Repository: SciTools/iris
Pull request #6549 (2025-07-07 10:42:57)

Investigate and reduce benchmark changes for mesh timestamps
## 🚀 Pull Request

Investigating #6547. 

This has slowed down benchmarks significantly. The cause of this is that every time metadata is updated, so are points and bounds, even if they don't need updating. Updating points and bounds causes significant slowdowns.



codecov[bot]: ## [Codecov](https://app.codecov.io/gh/SciTools/iris/pull/6549?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=SciTools) Report
All modified and coverable lines are covered by tests :white_check_mark:
> Project coverage is 89.89%. Comparing base [(`5ba6dc1`)](https://app.codecov.io/gh/SciTools/iris/commit/5ba6dc1a023ba779962774d7ac593f388cd29fcc?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=SciTools) to head [(`87c8c3f`)](https://app.codecov.io/gh/SciTools/iris/commit/87c8c3f19606020af01f818b2a50276a113cc626?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=SciTools).

<details><summary>Additional details and impacted files</summary>


```diff
@@           Coverage Diff           @@
##             main    #6549   +/-   ##
=======================================
  Coverage   89.89%   89.89%           
=======================================
  Files          90       90           
  Lines       24138    24138           
  Branches     4492     4492           
=======================================
  Hits        21699    21699           
  Misses       1679     1679           
  Partials      760      760           
```

</details>

[:umbrella: View full report in Codecov by Sentry](https://app.codecov.io/gh/SciTools/iris/pull/6549?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=SciTools).   
:loudspeaker: Have feedback on the report? [Share it here](https://about.codecov.io/codecov-pr-comment-feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=SciTools).

<details><summary> :rocket: New features to boost your workflow: </summary>

- :snowflake: [Test Analytics](https://docs.codecov.com/docs/test-analytics): Detect flaky tests, report on failures, and find test suite problems.
</details>
github-actions[bot]: 
# :stopwatch: Performance Benchmark Report: 85ef2ca4

<details>
<summary>Performance shifts</summary>

```
| Change   | Before [5ba6dc1a]    | After [85ef2ca4]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.73±0.2ms           | 1.33±0.02ms         |    0.14 | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.86±0.2ms           | 903±10μs            |    0.13 | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 45.2±0.9ms           | 28.1±1ms            |    0.62 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 506±5ms              | 282±4ms             |    0.56 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 377±8ms              | 161±3ms             |    0.43 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 528±5ms              | 322±8ms             |    0.61 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 37.2±1ms             | 112±2μs             |    0    | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 31.6±1ms             | 19.1±0.8ms          |    0.6  | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 222±4ms              | 50.4±2ms            |    0.23 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 32.3±0.8ms           | 18.9±1ms            |    0.59 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 31.1±0.6ms           | 19.1±0.4ms          |    0.61 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 37.4±0.5ms           | 19.4±1ms            |    0.52 | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 298±4ms              | 60.5±2ms            |    0.2  | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 37.6±0.7ms           | 20.0±0.6ms          |    0.53 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 37.6±0.9ms           | 21.1±0.4ms          |    0.56 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 220±4ms              | 18.1±0.4ms          |    0.08 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 218±3ms              | 21.4±0.6ms          |    0.1  | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 693±10ms             | 127±4ms             |    0.18 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.20±0.01s           | 607±8ms             |    0.51 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.5±0.02M           |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 654±9ms              | 84.8±3ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.13±0.01s           | 563±4ms             |    0.5  | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.45±0.01M          |    0.15 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 697±7ms              | 91.8±2ms            |    0.13 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.11±0.01s           | 506±20ms            |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 104±2ms              | 70.5±2ms            |    0.68 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 9.92±0.3M            | 1.81±0.2M           |    0.18 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |
```

</details>

<details>
<summary>Full benchmark results</summary>

```

Benchmarks that have improved:

| Change   | Before [5ba6dc1a]    | After [85ef2ca4]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.73±0.2ms           | 1.33±0.02ms         |    0.14 | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.86±0.2ms           | 903±10μs            |    0.13 | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 45.2±0.9ms           | 28.1±1ms            |    0.62 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 506±5ms              | 282±4ms             |    0.56 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 377±8ms              | 161±3ms             |    0.43 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 528±5ms              | 322±8ms             |    0.61 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 37.2±1ms             | 112±2μs             |    0    | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 31.6±1ms             | 19.1±0.8ms          |    0.6  | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 222±4ms              | 50.4±2ms            |    0.23 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 32.3±0.8ms           | 18.9±1ms            |    0.59 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 31.1±0.6ms           | 19.1±0.4ms          |    0.61 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 37.4±0.5ms           | 19.4±1ms            |    0.52 | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 298±4ms              | 60.5±2ms            |    0.2  | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 37.6±0.7ms           | 20.0±0.6ms          |    0.53 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 37.6±0.9ms           | 21.1±0.4ms          |    0.56 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 220±4ms              | 18.1±0.4ms          |    0.08 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 218±3ms              | 21.4±0.6ms          |    0.1  | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 693±10ms             | 127±4ms             |    0.18 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.20±0.01s           | 607±8ms             |    0.51 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.5±0.02M           |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 654±9ms              | 84.8±3ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.13±0.01s           | 563±4ms             |    0.5  | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.45±0.01M          |    0.15 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 697±7ms              | 91.8±2ms            |    0.13 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.11±0.01s           | 506±20ms            |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 104±2ms              | 70.5±2ms            |    0.68 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 9.92±0.3M            | 1.81±0.2M           |    0.18 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |

Benchmarks that have stayed the same:

| Change   | Before [5ba6dc1a]    | After [85ef2ca4]    | Ratio   | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 22.0±0.4ms           | 21.5±0.5ms          | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 56.5±2ms             | 57.8±2ms            | 1.02    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 37.1±0.9ms           | 37.6±0.6ms          | 1.01    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 186±6ms              | 189±3ms             | 1.01    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 25.4±1ms             | 24.7±0.9ms          | 0.97    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 34.2±0.9ms           | 33.9±1ms            | 0.99    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 24.7±0.8ms           | 24.4±1ms            | 0.99    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 33.9±0.7ms           | 34.8±0.9ms          | 1.02    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 22.4±0.4ms           | 21.9±0.6ms          | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 47.5±3ms             | 47.5±2ms            | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 137±3ms              | 137±2ms             | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 137±2ms              | 137±3ms             | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 23.2±0.8ms           | 23.9±0.6ms          | 1.03    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 51.1±4ms             | 52.2±2ms            | 1.02    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 24.6±1ms             | 24.7±0.5ms          | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 62.9±3ms             | 61.4±2ms            | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 21.6±0.5ms           | 21.6±0.8ms          | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 49.3±2ms             | 48.5±2ms            | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.08±0.02s           | 1.09±0.01s          | 1.01    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.08±0.01s           | 1.08±0.01s          | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 218±3ms              | 217±3ms             | 0.99    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 381±8ms              | 391±7ms             | 1.03    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 23.0±0.5ms           | 23.1±0.9ms          | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 32.7±1ms             | 32.8±0.9ms          | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 23.2±0.5ms           | 23.6±0.8ms          | 1.02    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 63.4±3ms             | 65.9±3ms            | 1.04    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 24.0±0.6ms           | 24.6±0.6ms          | 1.02    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 68.2±3ms             | 67.2±1ms            | 0.99    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 23.6±0.5ms           | 24.6±0.8ms          | 1.04    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 61.8±2ms             | 61.8±4ms            | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 8.23±0.2ms           | 8.44±0.3ms          | 1.03    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 23.2±1ms             | 24.8±1ms            | 1.07    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 20.7±0.4ms           | 20.9±0.8ms          | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 142±5ms              | 148±5ms             | 1.04    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.75±0.2ms           | 8.65±0.06ms         | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 21.7±1ms             | 21.8±0.5ms          | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.52±0.2ms           | 8.63±0.2ms          | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 21.9±0.9ms           | 22.0±0.9ms          | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 8.06±0.2ms           | 8.16±0.2ms          | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 22.6±0.9ms           | 22.7±1ms            | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 25.6±0.7ms           | 25.6±1ms            | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 37.5±1ms             | 36.1±2ms            | 0.96    | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.15±0.2ms           | 8.60±0.3ms          | 1.06    | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 22.4±1ms             | 22.4±1ms            | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 9.50±0.2ms           | 9.55±0.2ms          | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 24.4±1ms             | 25.1±2ms            | 1.03    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 8.11±0.3ms           | 8.41±0.2ms          | 1.04    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 22.9±1ms             | 22.0±0.7ms          | 0.96    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 537±2ms              | 540±5ms             | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 548±4ms              | 545±3ms             | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 46.4±1ms             | 47.0±1ms            | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 150±5ms              | 154±4ms             | 1.02    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.51±0.3ms           | 8.60±0.3ms          | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 21.2±0.6ms           | 21.6±0.8ms          | 1.02    | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.26±0.2ms           | 8.42±0.1ms          | 1.02    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 24.5±0.6ms           | 24.5±1ms            | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.62±0.3ms           | 8.96±0.2ms          | 1.04    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 23.8±0.6ms           | 24.1±0.9ms          | 1.02    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.65±0.2ms           | 8.66±0.2ms          | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 23.5±1ms             | 23.7±1ms            | 1.01    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 23.9±0.6ms           | 23.8±0.4ms          | 0.99    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 89.5±2ms             | 90.2±3ms            | 1.01    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 23.0±0.4ms           | 23.9±0.6ms          | 1.04    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 101±1ms              | 102±2ms             | 1.02    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 22.0±0.4ms           | 22.6±0.4ms          | 1.02    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 60.5±2ms             | 63.2±3ms            | 1.04    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.89±0.3ms           | 8.95±0.2ms          | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 29.0±0.9ms           | 29.4±1ms            | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.50±0.1ms           | 8.57±0.2ms          | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 31.2±0.9ms           | 30.7±0.4ms          | 0.99    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 8.34±0.09ms          | 8.35±0.2ms          | 1.00    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 24.9±0.9ms           | 25.2±0.8ms          | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 222±3ms              | 225±4ms             | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 292±6ms              | 302±5ms             | 1.03    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.18±0.02ms          | 1.16±0.01ms         | 0.98    | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 403±5μs              | 409±10μs            | 1.02    | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 100±2ms              | 102±2ms             | 1.01    | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 28.8±2ms             | 29.2±1ms            | 1.02    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 116±2ms              | 118±2ms             | 1.02    | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 17.5±0.2μs           | 17.5±0.3μs          | 1.00    | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 121±3ms              | 107±4ms             | 0.88    | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 135±4ms              | 121±6ms             | 0.89    | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.4±0.1μs           | 17.4±0.2μs          | 1.00    | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 201±2ms              | 198±3ms             | 0.98    | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 74.9±4ms             | 79.0±4ms            | 1.06    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 226±3ms              | 239±9ms             | 1.06    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 52.8±0.5μs           | 52.0±0.4μs          | 0.99    | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 865±30μs             | 824±30μs            | 0.95    | import_iris.Iris.time__concatenate                                                          |
|          | 204±3μs              | 199±5μs             | 0.98    | import_iris.Iris.time__constraints                                                          |
|          | 121±2μs              | 116±4μs             | 0.96    | import_iris.Iris.time__data_manager                                                         |
|          | 92.6±2μs             | 94.2±1μs            | 1.02    | import_iris.Iris.time__deprecation                                                          |
|          | 165±3μs              | 165±2μs             | 1.00    | import_iris.Iris.time__lazy_data                                                            |
|          | 941±20μs             | 928±30μs            | 0.99    | import_iris.Iris.time__merge                                                                |
|          | 74.9±0.6μs           | 74.3±0.4μs          | 0.99    | import_iris.Iris.time__representation                                                       |
|          | 662±10μs             | 627±20μs            | 0.95    | import_iris.Iris.time_analysis                                                              |
|          | 145±3μs              | 143±1μs             | 0.98    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 106±1μs              | 108±2μs             | 1.01    | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 255±6μs              | 254±4μs             | 1.00    | import_iris.Iris.time_analysis__interpolation                                               |
|          | 198±4μs              | 206±8μs             | 1.04    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 116±2μs              | 116±2μs             | 1.00    | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 136±2μs              | 138±2μs             | 1.01    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 330±3μs              | 331±7μs             | 1.00    | import_iris.Iris.time_analysis_cartography                                                  |
|          | 91.0±1μs             | 92.7±0.7μs          | 1.02    | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 213±7μs              | 213±4μs             | 1.00    | import_iris.Iris.time_analysis_maths                                                        |
|          | 94.1±2μs             | 97.3±1μs            | 1.03    | import_iris.Iris.time_analysis_stats                                                        |
|          | 179±6μs              | 177±2μs             | 0.99    | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 350±20μs             | 352±30μs            | 1.01    | import_iris.Iris.time_aux_factory                                                           |
|          | 82.0±1μs             | 82.6±1μs            | 1.01    | import_iris.Iris.time_common                                                                |
|          | 171±9μs              | 170±5μs             | 1.00    | import_iris.Iris.time_common_lenient                                                        |
|          | 1.44±0.1ms           | 1.49±0.09ms         | 1.03    | import_iris.Iris.time_common_metadata                                                       |
|          | 183±5μs              | 182±3μs             | 0.99    | import_iris.Iris.time_common_mixin                                                          |
|          | 1.18±0.04ms          | 1.22±0.03ms         | 1.03    | import_iris.Iris.time_common_resolve                                                        |
|          | 201±3μs              | 203±2μs             | 1.01    | import_iris.Iris.time_config                                                                |
|          | 127±1μs              | 126±1μs             | 0.99    | import_iris.Iris.time_coord_categorisation                                                  |
|          | 423±20μs             | 423±20μs            | 1.00    | import_iris.Iris.time_coord_systems                                                         |
|          | 813±30μs             | 806±40μs            | 0.99    | import_iris.Iris.time_coords                                                                |
|          | 678±70μs             | 679±40μs            | 1.00    | import_iris.Iris.time_cube                                                                  |
|          | 249±3μs              | 246±3μs             | 0.99    | import_iris.Iris.time_exceptions                                                            |
|          | 74.3±1μs             | 74.6±1μs            | 1.00    | import_iris.Iris.time_experimental                                                          |
|          | 179±1μs              | 180±2μs             | 1.01    | import_iris.Iris.time_fileformats                                                           |
|          | 276±10μs             | 271±5μs             | 0.98    | import_iris.Iris.time_fileformats__ff                                                       |
|          | 3.76±0.5ms           | 2.81±0.2ms          | ~0.75   | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 76.1±1μs             | 76.9±0.8μs          | 1.01    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 115±2μs              | 116±2μs             | 1.00    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 473±20μs             | 456±10μs            | 0.96    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 5.61±0.6ms           | 5.69±0.4ms          | 1.02    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 72.4±0.8μs           | 72.2±0.6μs          | 1.00    | import_iris.Iris.time_fileformats_name                                                      |
|          | 255±4μs              | 258±4μs             | 1.01    | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 114±1μs              | 116±2μs             | 1.02    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 125±2μs              | 125±1μs             | 1.00    | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 211±7μs              | 208±2μs             | 0.99    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 868±50μs             | 836±30μs            | 0.96    | import_iris.Iris.time_fileformats_pp                                                        |
|          | 177±2μs              | 179±1μs             | 1.01    | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 136±2μs              | 139±1μs             | 1.02    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 541±7μs              | 560±9μs             | 1.04    | import_iris.Iris.time_fileformats_rules                                                     |
|          | 231±4μs              | 233±5μs             | 1.01    | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 80.9±1μs             | 81.9±1μs            | 1.01    | import_iris.Iris.time_fileformats_um                                                        |
|          | 160±2μs              | 162±2μs             | 1.01    | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 144±2μs              | 145±2μs             | 1.01    | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 72.3±0.6μs           | 72.7±0.5μs          | 1.01    | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 80.3±2μs             | 79.6±2μs            | 0.99    | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 958±20μs             | 969±20μs            | 1.01    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 139±2μs              | 139±3μs             | 1.00    | import_iris.Iris.time_io                                                                    |
|          | 184±8μs              | 197±6μs             | 1.07    | import_iris.Iris.time_io_format_picker                                                      |
|          | 215±5μs              | 216±4μs             | 1.00    | import_iris.Iris.time_iris                                                                  |
|          | 133±3μs              | 128±2μs             | 0.97    | import_iris.Iris.time_iterate                                                               |
|          | 8.29±0.2ms           | 8.52±0.3ms          | 1.03    | import_iris.Iris.time_palette                                                               |
|          | 1.78±0.04ms          | 2.03±0.1ms          | 1.14    | import_iris.Iris.time_plot                                                                  |
|          | 222±2μs              | 223±2μs             | 1.00    | import_iris.Iris.time_quickplot                                                             |
|          | 2.56±0.5ms           | 2.66±0.6ms          | 1.04    | import_iris.Iris.time_std_names                                                             |
|          | 1.84±0.03ms          | 1.86±0.03ms         | 1.01    | import_iris.Iris.time_symbols                                                               |
|          | 89.8±5ms             | 89.2±3ms            | 0.99    | import_iris.Iris.time_tests                                                                 |
|          | 252±3μs              | 257±1μs             | 1.02    | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.68±0.2ms           | 5.60±0.1ms          | 0.99    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 119±2μs              | 120±2μs             | 1.01    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.81±0.07ms          | 2.83±0.05ms         | 1.01    | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.31±0.02ms          | 1.35±0.02ms         | 1.03    | import_iris.Iris.time_third_party_numpy                                                     |
|          | 166±1μs              | 173±3μs             | 1.05    | import_iris.Iris.time_third_party_scipy                                                     |
|          | 104±2μs              | 104±1μs             | 1.00    | import_iris.Iris.time_time                                                                  |
|          | 366±3μs              | 353±5μs             | 0.96    | import_iris.Iris.time_util                                                                  |
|          | 72.6±1μs             | 72.3±2μs            | 1.00    | iterate.IZip.time_izip                                                                      |
|          | 10.3±0.3ms           | 11.2±0.5ms          | 1.08    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 17.7±0.3ms           | 18.5±0.8ms          | 1.04    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.8±0.6ms           | 10.9±0.5ms          | 1.01    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 11.0±0.6ms           | 10.7±0.6ms          | 0.97    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 14.8±0.5ms           | 15.3±0.6ms          | 1.03    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 10.8±0.4ms           | 10.9±0.3ms          | 1.01    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.54±0.01s           | 1.56±0.01s          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 14.1±0.3ms           | 13.7±0.6ms          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.55±0.01s           | 1.57±0.01s          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.53±0.02s           | 1.56±0.01s          | 1.02    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 13.4±0.5ms           | 13.7±0.3ms          | 1.02    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.56±0.01s           | 1.58±0.01s          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.83±0.1ms           | 5.69±0.1ms          | 0.97    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 13.1±0.5ms           | 13.0±0.4ms          | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.44±0.1ms           | 5.88±0.3ms          | 1.08    | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.49±0.2ms           | 5.86±0.4ms          | 1.07    | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 13.2±0.6ms           | 13.6±0.3ms          | 1.03    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.54±0.3ms           | 5.90±0.3ms          | 1.07    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 25.1±2ms             | 28.4±2ms            | 1.13    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 28.3±2ms             | 26.5±0.7ms          | 0.94    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 12.8±1ms             | 14.5±1ms            | 1.13    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 29.4±2ms             | 29.5±1ms            | 1.00    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 87.4±2ms             | 86.7±1ms            | 0.99    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 30.0±1ms             | 29.5±2ms            | 0.98    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 647±7ms              | 642±10ms            | 0.99    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 4.17±0.2ms           | 4.00±0.2ms          | 0.96    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 648±6ms              | 651±10ms            | 1.00    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 660±10ms             | 655±8ms             | 0.99    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 4.16±0.3ms           | 4.03±0.2ms          | 0.97    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 654±10ms             | 663±10ms            | 1.01    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.42±0.2ms           | 2.40±0.1ms          | 0.99    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 4.12±0.1ms           | 4.07±0.2ms          | 0.99    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.31±0.1ms           | 2.34±0.07ms         | 1.01    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.49±0.3ms           | 2.37±0.1ms          | 0.95    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.95±0.2ms           | 4.24±0.2ms          | 1.07    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.40±0.1ms           | 2.32±0.05ms         | 0.97    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 365±6ms              | 361±5ms             | 0.99    | load.ManyCubes.time_many_cube_load                                                          |
|          | 94.4±2ms             | 93.8±1ms            | 0.99    | load.ManyVars.time_many_var_load                                                            |
|          | 10.6±0.5ms           | 11.2±0.3ms          | 1.05    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.3±0.2ms           | 11.3±0.7ms          | 1.10    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.57±0.02s           | 1.58±0.01s          | 1.01    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.56±0.01s           | 1.58±0.01s          | 1.02    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.39±0.2ms           | 5.58±0.1ms          | 1.04    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 6.55±0.6ms           | 6.24±0.5ms          | 0.95    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.87±0.6ms           | 9.81±0.4ms          | 0.99    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 6.49±0.2ms           | 6.29±0.3ms          | 0.97    | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.53±0.02s           | 1.54±0.01s          | 1.01    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 439±8ms              | 432±3ms             | 0.99    | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.76±0.6ms           | 4.74±0.2ms          | 1.00    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.57±0.3ms           | 4.54±0.2ms          | 0.99    | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 168±1ms              | 172±2ms             | 1.02    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 16.8±0.4ms           | 17.3±0.3ms          | 1.03    | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 170±2ms              | 173±3ms             | 1.02    | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 35.0±0.7ms           | 35.1±0.7ms          | 1.00    | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 16.6±0.4ms           | 16.9±0.4ms          | 1.02    | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 34.7±0.5ms           | 35.1±0.6ms          | 1.01    | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 10.4±0.8ms           | 10.8±0.4ms          | 1.04    | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 19.2±0.6ms           | 18.6±0.6ms          | 0.97    | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 9.91±0.7ms           | 10.6±0.4ms          | 1.07    | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 13.6±0.2ms           | 13.4±0.5ms          | 0.98    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 4.09±0.2ms           | 3.95±0.2ms          | 0.97    | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 7.24±0.3ms           | 7.11±0.4ms          | 0.98    | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 45.1±2ms             | 44.6±2ms            | 0.99    | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 827±8ms              | 833±20ms            | 1.01    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.49±0.04s           | 1.51±0.04s          | 1.01    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 453±7ms              | 455±10ms            | 1.01    | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             | 1.00    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 114±5M               | 111±5M              | 0.97    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 38.9±4ms             | 39.4±4ms            | 1.01    | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           | 1.00    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 365±4ns              | 365±4ns             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 197±2ms              | 196±1ms             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 771±0.4k             | 772±0.5k            | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60.2±0M              | 60.2±0M             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 27.8±0M              | 25±0.04M            | 0.90    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 101±2M               | 96.5±0.02M          | 0.95    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 102±0.3M             | 96.5±0.03M          | 0.95    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(500)                     |
|          | 2.1752849999999997   | 2.1752849999999997  | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(50)                  |
|          | 216.01528499999998   | 216.01528499999998  | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(500)                 |
|          | 7.17±0.4ms           | 7.21±0.2ms          | 1.01    | plot.AuxSort.time_aux_sort                                                                  |
|          | 83.8±2ms             | 85.5±5ms            | 1.02    | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              | 1.00    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 108±3ms              | 109±7ms             | 1.01    | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 69.0±4ms             | 70.0±5ms            | 1.01    | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.08M            | 107±0.08M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.91±0.4ms           | 5.69±0.4ms          | 1.16    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 45.0±1ms             | 45.1±0.7ms          | 1.00    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 87.7±0.4ns           | 86.8±0.3ns          | 0.99    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 88.6±1ns             | 88.2±0.9ns          | 1.00    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 477±3ms              | 440±6ms             | 0.92    | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.7±0.3k            | 31.5±0.4k           | 1.00    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 31.6±0.3k            | 31.6±0.4k           | 1.00    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 191±10M              | 225±20M             | 1.18    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 43.0±2ms             | 42.8±1ms            | 1.00    | stats.PearsonR.time_lazy                                                                    |
|          | 11.7±1ms             | 10.4±0.5ms          | 0.89    | stats.PearsonR.time_real                                                                    |
|          | 27.6±1M              | 29.8±0.5M           | 1.08    | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0.01M           | 18.3±0.01M          | 1.00    | stats.PearsonR.tracemalloc_real                                                             |
|          | 29.2±1ms             | 28.6±1ms            | 0.98    | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 63.5±0.7ms           | 63.7±0.3ms          | 1.00    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.75±0.02M           | 7.75±0.02M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |
```

</details>

Generated by GHA run [`16120447932`](https://github.com/SciTools/iris/actions/runs/16120447932)

ESadek-MO: https://github.com/SciTools/iris/pull/6549#issuecomment-3045698355

These benchmarks *I think* completely redeem the previous slow-downs, but used dodgy logic to do so and caused test failures. 
They can be used as a quick reference as to whether any further changes remove this improvement. 
github-actions[bot]: 
# :stopwatch: Performance Benchmark Report: f02152e8

<details>
<summary>Performance shifts</summary>

```
| Change   | Before [fdb4b493]    | After [f02152e8]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.66±0.1ms           | 2.57±0.05ms         |    0.27 | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.67±0.1ms           | 1.86±0.02ms         |    0.28 | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 44.4±0.7ms           | 30.0±0.5ms          |    0.68 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 460±8ms              | 259±4ms             |    0.56 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 348±4ms              | 144±2ms             |    0.41 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 488±5ms              | 290±6ms             |    0.59 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 35.7±0.5ms           | 553±10μs            |    0.02 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 29.9±0.5ms           | 20.3±0.9ms          |    0.68 | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 210±3ms              | 50.0±1ms            |    0.24 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 29.0±0.5ms           | 20.7±0.5ms          |    0.71 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 29.9±1ms             | 20.7±0.5ms          |    0.69 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 35.4±0.8ms           | 21.9±0.5ms          |    0.62 | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 281±2ms              | 61.9±1ms            |    0.22 | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 35.5±0.6ms           | 22.1±0.7ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 37.5±0.8ms           | 23.5±0.9ms          |    0.63 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 208±2ms              | 19.5±0.2ms          |    0.09 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 208±4ms              | 22.9±0.5ms          |    0.11 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 661±6ms              | 124±2ms             |    0.19 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.13±0.01s           | 584±3ms             |    0.52 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.48±0.02M          |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 620±10ms             | 81.5±1ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.07±0s              | 537±5ms             |    0.5  | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.41±0.03M          |    0.14 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 656±6ms              | 88.3±0.7ms          |    0.13 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.06±0.01s           | 483±3ms             |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 95.4±0.9ms           | 65.7±0.8ms          |    0.69 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 10.2±0.3M            | 1.78±0.1M           |    0.18 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |
```

</details>

<details>
<summary>Full benchmark results</summary>

```

Benchmarks that have improved:

| Change   | Before [fdb4b493]    | After [f02152e8]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.66±0.1ms           | 2.57±0.05ms         |    0.27 | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.67±0.1ms           | 1.86±0.02ms         |    0.28 | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 44.4±0.7ms           | 30.0±0.5ms          |    0.68 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 460±8ms              | 259±4ms             |    0.56 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 348±4ms              | 144±2ms             |    0.41 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 488±5ms              | 290±6ms             |    0.59 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 35.7±0.5ms           | 553±10μs            |    0.02 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 29.9±0.5ms           | 20.3±0.9ms          |    0.68 | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 210±3ms              | 50.0±1ms            |    0.24 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 29.0±0.5ms           | 20.7±0.5ms          |    0.71 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 29.9±1ms             | 20.7±0.5ms          |    0.69 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 35.4±0.8ms           | 21.9±0.5ms          |    0.62 | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 281±2ms              | 61.9±1ms            |    0.22 | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 35.5±0.6ms           | 22.1±0.7ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 37.5±0.8ms           | 23.5±0.9ms          |    0.63 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 208±2ms              | 19.5±0.2ms          |    0.09 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 208±4ms              | 22.9±0.5ms          |    0.11 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 661±6ms              | 124±2ms             |    0.19 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.13±0.01s           | 584±3ms             |    0.52 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.48±0.02M          |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 620±10ms             | 81.5±1ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.07±0s              | 537±5ms             |    0.5  | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.41±0.03M          |    0.14 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 656±6ms              | 88.3±0.7ms          |    0.13 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.06±0.01s           | 483±3ms             |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 95.4±0.9ms           | 65.7±0.8ms          |    0.69 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 10.2±0.3M            | 1.78±0.1M           |    0.18 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |

Benchmarks that have stayed the same:

| Change   | Before [fdb4b493]    | After [f02152e8]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 21.5±0.1ms           | 21.4±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 53.9±0.8ms           | 52.5±1ms            |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 35.5±0.4ms           | 35.6±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 170±1ms              | 169±3ms             |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.8±0.3ms           | 23.1±0.4ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 32.0±0.3ms           | 31.9±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 23.1±0.3ms           | 23.6±0.2ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 32.1±0.3ms           | 31.9±0.5ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.5±0.2ms           | 21.0±0.2ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 45.3±1ms             | 45.2±0.7ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 127±1ms              | 126±0.8ms           |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 128±1ms              | 129±2ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.4±0.3ms           | 22.3±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 49.6±0.5ms           | 49.2±0.9ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 24.0±0.2ms           | 23.6±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 59.5±2ms             | 58.2±1ms            |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 21.4±0.3ms           | 20.8±0.2ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 45.6±0.9ms           | 45.2±1ms            |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.09±0.01s           | 1.07±0.01s          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.08±0.01s           | 1.05±0.01s          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 214±1ms              | 213±2ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 354±5ms              | 340±8ms             |    0.96 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 22.5±0.2ms           | 21.9±0.2ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 31.4±0.4ms           | 30.5±0.5ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 22.4±0.1ms           | 22.4±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 61.7±0.9ms           | 60.9±2ms            |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 23.4±0.2ms           | 23.6±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 63.7±2ms             | 62.6±1ms            |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 23.8±0.2ms           | 23.2±0.3ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 59.0±0.8ms           | 58.1±1ms            |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 8.25±0.1ms           | 7.98±0.1ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 22.6±0.4ms           | 22.0±0.7ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 20.5±0.2ms           | 20.2±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 127±2ms              | 128±2ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.69±0.1ms           | 8.39±0.07ms         |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 20.5±0.4ms           | 20.9±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.45±0.1ms           | 8.37±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 21.0±0.6ms           | 20.1±0.5ms          |    0.96 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 8.04±0.1ms           | 7.91±0.06ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 21.7±0.6ms           | 20.7±0.5ms          |    0.95 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 24.8±0.2ms           | 24.2±0.2ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 34.9±0.8ms           | 34.7±0.8ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.32±0.05ms          | 8.15±0.08ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 21.8±0.9ms           | 21.2±0.4ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 9.29±0.1ms           | 9.20±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 23.6±1ms             | 23.4±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 8.00±0.2ms           | 8.01±0.2ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 21.9±0.8ms           | 20.9±0.5ms          |    0.96 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 537±4ms              | 536±4ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 544±2ms              | 542±3ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 45.7±0.3ms           | 45.4±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 137±4ms              | 135±2ms             |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.23±0.2ms           | 8.20±0.09ms         |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 20.5±0.5ms           | 20.2±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.49±0.2ms           | 8.26±0.09ms         |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 23.4±0.8ms           | 23.2±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.63±0.1ms           | 8.53±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 22.7±0.6ms           | 22.7±0.8ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.69±0.1ms           | 8.59±0.06ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 22.1±0.6ms           | 22.3±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 22.9±0.2ms           | 22.6±0.2ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 83.0±1ms             | 83.0±1ms            |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 22.9±0.2ms           | 22.8±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 95.8±0.8ms           | 94.8±0.9ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 21.6±0.2ms           | 21.7±0.1ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 56.7±0.7ms           | 55.7±0.9ms          |    0.98 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.59±0.1ms           | 8.58±0.1ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 27.7±0.5ms           | 27.6±0.6ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.58±0.08ms          | 8.33±0.05ms         |    0.97 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 29.7±0.8ms           | 28.7±0.7ms          |    0.96 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 8.35±0.1ms           | 8.25±0.04ms         |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 23.3±0.8ms           | 22.7±0.6ms          |    0.97 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 225±2ms              | 222±2ms             |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 284±6ms              | 284±4ms             |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.16±0.03ms          | 1.15±0.01ms         |    0.99 | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 411±4μs              | 401±5μs             |    0.98 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 95.0±2ms             | 92.9±1ms            |    0.98 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 25.5±1ms             | 25.0±0.4ms          |    0.98 | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 108±2ms              | 108±0.8ms           |    1.01 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 17.5±0.1μs           | 17.5±0.1μs          |    1    | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 114±2ms              | 98.2±3ms            |    0.86 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 126±0.9ms            | 112±2ms             |    0.89 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.7±0.2μs           | 17.4±0.1μs          |    0.99 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 181±3ms              | 177±3ms             |    0.98 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 68.3±3ms             | 67.1±1ms            |    0.98 | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 209±4ms              | 208±3ms             |    1    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 53.0±0.9μs           | 52.0±0.6μs          |    0.98 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 796±10μs             | 801±9μs             |    1.01 | import_iris.Iris.time__concatenate                                                          |
|          | 190±4μs              | 186±5μs             |    0.98 | import_iris.Iris.time__constraints                                                          |
|          | 116±2μs              | 116±2μs             |    1    | import_iris.Iris.time__data_manager                                                         |
|          | 92.0±1μs             | 90.9±1μs            |    0.99 | import_iris.Iris.time__deprecation                                                          |
|          | 165±4μs              | 164±2μs             |    1    | import_iris.Iris.time__lazy_data                                                            |
|          | 894±20μs             | 892±5μs             |    1    | import_iris.Iris.time__merge                                                                |
|          | 73.2±0.5μs           | 74.8±0.4μs          |    1.02 | import_iris.Iris.time__representation                                                       |
|          | 605±10μs             | 610±6μs             |    1.01 | import_iris.Iris.time_analysis                                                              |
|          | 139±1μs              | 141±1μs             |    1.01 | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 106±2μs              | 107±0.7μs           |    1.01 | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 246±2μs              | 249±3μs             |    1.01 | import_iris.Iris.time_analysis__interpolation                                               |
|          | 188±2μs              | 192±3μs             |    1.02 | import_iris.Iris.time_analysis__regrid                                                      |
|          | 110±1μs              | 110±1μs             |    1    | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 138±4μs              | 138±1μs             |    1    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 324±7μs              | 327±5μs             |    1.01 | import_iris.Iris.time_analysis_cartography                                                  |
|          | 91.3±1μs             | 92.8±0.9μs          |    1.02 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 207±2μs              | 213±4μs             |    1.03 | import_iris.Iris.time_analysis_maths                                                        |
|          | 93.0±0.5μs           | 94.4±1μs            |    1.02 | import_iris.Iris.time_analysis_stats                                                        |
|          | 169±4μs              | 173±3μs             |    1.02 | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 313±4μs              | 326±5μs             |    1.04 | import_iris.Iris.time_aux_factory                                                           |
|          | 79.1±0.2μs           | 81.8±2μs            |    1.03 | import_iris.Iris.time_common                                                                |
|          | 163±2μs              | 159±3μs             |    0.98 | import_iris.Iris.time_common_lenient                                                        |
|          | 1.33±0ms             | 1.34±0.01ms         |    1.01 | import_iris.Iris.time_common_metadata                                                       |
|          | 166±2μs              | 174±5μs             |    1.05 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.16±0.01ms          | 1.16±0.01ms         |    1    | import_iris.Iris.time_common_resolve                                                        |
|          | 195±0.9μs            | 202±2μs             |    1.03 | import_iris.Iris.time_config                                                                |
|          | 127±2μs              | 129±3μs             |    1.01 | import_iris.Iris.time_coord_categorisation                                                  |
|          | 381±7μs              | 387±8μs             |    1.02 | import_iris.Iris.time_coord_systems                                                         |
|          | 772±10μs             | 760±6μs             |    0.98 | import_iris.Iris.time_coords                                                                |
|          | 630±6μs              | 652±10μs            |    1.04 | import_iris.Iris.time_cube                                                                  |
|          | 237±2μs              | 235±3μs             |    0.99 | import_iris.Iris.time_exceptions                                                            |
|          | 74.1±0.4μs           | 74.2±0.3μs          |    1    | import_iris.Iris.time_experimental                                                          |
|          | 179±0.7μs            | 180±2μs             |    1.01 | import_iris.Iris.time_fileformats                                                           |
|          | 251±2μs              | 258±5μs             |    1.03 | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.57±0.01ms          | 2.59±0.03ms         |    1.01 | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 75.7±1μs             | 75.9±0.6μs          |    1    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 113±0.8μs            | 113±0.8μs           |    1    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 431±6μs              | 430±6μs             |    1    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.67±0.04ms          | 4.68±0.03ms         |    1    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 71.9±0.9μs           | 72.0±1μs            |    1    | import_iris.Iris.time_fileformats_name                                                      |
|          | 254±2μs              | 251±2μs             |    0.99 | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 113±0.8μs            | 115±1μs             |    1.02 | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 121±2μs              | 120±2μs             |    1    | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 207±1μs              | 208±3μs             |    1    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 784±6μs              | 787±3μs             |    1    | import_iris.Iris.time_fileformats_pp                                                        |
|          | 178±1μs              | 179±0.8μs           |    1.01 | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 138±2μs              | 137±2μs             |    1    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 537±10μs             | 536±4μs             |    1    | import_iris.Iris.time_fileformats_rules                                                     |
|          | 220±2μs              | 223±2μs             |    1.01 | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 79.4±1μs             | 80.2±0.7μs          |    1.01 | import_iris.Iris.time_fileformats_um                                                        |
|          | 156±0.9μs            | 159±1μs             |    1.02 | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 136±2μs              | 139±1μs             |    1.02 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 72.3±0.3μs           | 73.5±0.4μs          |    1.02 | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 78.2±0.3μs           | 79.4±0.4μs          |    1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 940±5μs              | 948±7μs             |    1.01 | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 137±3μs              | 139±0.7μs           |    1.01 | import_iris.Iris.time_io                                                                    |
|          | 173±3μs              | 174±1μs             |    1.01 | import_iris.Iris.time_io_format_picker                                                      |
|          | 211±2μs              | 211±1μs             |    1    | import_iris.Iris.time_iris                                                                  |
|          | 124±0.8μs            | 127±0.7μs           |    1.02 | import_iris.Iris.time_iterate                                                               |
|          | 8.02±0.04ms          | 8.11±0.09ms         |    1.01 | import_iris.Iris.time_palette                                                               |
|          | 1.76±0.01ms          | 1.77±0.01ms         |    1    | import_iris.Iris.time_plot                                                                  |
|          | 217±1μs              | 217±2μs             |    1    | import_iris.Iris.time_quickplot                                                             |
|          | 2.08±0.03ms          | 2.14±0.03ms         |    1.03 | import_iris.Iris.time_std_names                                                             |
|          | 1.80±0.01ms          | 1.84±0.01ms         |    1.03 | import_iris.Iris.time_symbols                                                               |
|          | 35.1±1ms             | 35.2±0.9ms          |    1    | import_iris.Iris.time_tests                                                                 |
|          | 250±1μs              | 255±2μs             |    1.02 | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.06±0.03ms          | 5.06±0.06ms         |    1    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 117±0.7μs            | 118±0.7μs           |    1.01 | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.72±0.01ms          | 2.73±0.02ms         |    1.01 | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.30±0.01ms          | 1.31±0.02ms         |    1.01 | import_iris.Iris.time_third_party_numpy                                                     |
|          | 172±5μs              | 167±1μs             |    0.97 | import_iris.Iris.time_third_party_scipy                                                     |
|          | 99.8±1μs             | 100±1μs             |    1    | import_iris.Iris.time_time                                                                  |
|          | 347±2μs              | 353±2μs             |    1.02 | import_iris.Iris.time_util                                                                  |
|          | 70.4±0.7μs           | 72.7±0.3μs          |    1.03 | iterate.IZip.time_izip                                                                      |
|          | 10.1±0.1ms           | 10.0±0.07ms         |    0.99 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 16.8±0.2ms           | 17.1±0.2ms          |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.3±0.1ms           | 10.2±0.1ms          |    0.98 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 10.0±0.2ms           | 10.1±0.1ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.5±0.1ms           | 13.4±0.06ms         |    0.99 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 9.99±0.3ms           | 10.2±0.08ms         |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.51±0.01s           | 1.53±0.01s          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.2±0.2ms           | 12.5±0.07ms         |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.56±0.02s           | 1.55±0.02s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.53±0.01s           | 1.53±0.01s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 12.5±0.2ms           | 12.6±0.4ms          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.54±0s              | 1.54±0s             |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.34±0.1ms           | 5.37±0.1ms          |    1    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 12.4±0.3ms           | 12.2±0.09ms         |    0.98 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.39±0.08ms          | 5.32±0.07ms         |    0.99 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.61±0.1ms           | 5.36±0.03ms         |    0.96 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 12.2±0.2ms           | 12.1±0.2ms          |    1    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.33±0.09ms          | 5.32±0.08ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 25.0±2ms             | 23.5±1ms            |    0.94 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 24.2±0.6ms           | 23.6±0.6ms          |    0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 12.6±2ms             | 11.9±1ms            |    0.95 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 29.3±1ms             | 28.1±1ms            |    0.96 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 83.0±0.7ms           | 82.6±0.9ms          |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 28.4±1ms             | 28.2±0.8ms          |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 607±8ms              | 601±3ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.67±0.1ms           | 3.38±0.05ms         |    0.92 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 617±4ms              | 603±3ms             |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 619±4ms              | 609±3ms             |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.56±0.1ms           | 3.50±0.1ms          |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 618±4ms              | 608±5ms             |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.14±0.06ms          | 2.15±0.1ms          |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.64±0.1ms           | 3.46±0.2ms          |    0.95 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.08±0.07ms          | 2.07±0.08ms         |    0.99 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.08±0.09ms          | 2.05±0.03ms         |    0.99 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.64±0.2ms           | 3.44±0.1ms          |    0.95 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.13±0.07ms          | 2.16±0.07ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 351±3ms              | 343±3ms             |    0.98 | load.ManyCubes.time_many_cube_load                                                          |
|          | 91.7±2ms             | 90.6±0.5ms          |    0.99 | load.ManyVars.time_many_var_load                                                            |
|          | 10.5±0.2ms           | 10.1±0.07ms         |    0.96 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.3±0.06ms          | 10.2±0.05ms         |    0.99 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.54±0.01s           | 1.52±0.02s          |    0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.56±0.02s           | 1.55±0.01s          |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.48±0.04ms          | 5.40±0.06ms         |    0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.49±0.05ms          | 5.34±0.05ms         |    0.97 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.14±0.3ms           | 9.07±0.1ms          |    0.99 | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.73±0.03ms          | 5.69±0.08ms         |    0.99 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.51±0.01s           | 1.49±0.01s          |    0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 427±4ms              | 423±3ms             |    0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.53±0.05ms          | 4.43±0.03ms         |    0.98 | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.33±0.05ms          | 4.30±0.04ms         |    0.99 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 168±3ms              | 166±1ms             |    0.99 | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 15.4±0.09ms          | 15.8±0.4ms          |    1.02 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 169±2ms              | 166±2ms             |    0.98 | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 33.1±0.3ms           | 33.3±0.1ms          |    1    | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 15.1±0.08ms          | 15.0±0.2ms          |    0.99 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 33.4±0.2ms           | 33.5±0.5ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 9.25±0.3ms           | 9.38±0.3ms          |    1.01 | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 16.8±0.4ms           | 16.9±0.3ms          |    1    | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 8.91±0.5ms           | 8.80±0.06ms         |    0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 12.1±0.4ms           | 12.0±0.4ms          |    1    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 3.82±0.05ms          | 3.64±0.2ms          |    0.95 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 6.78±0.1ms           | 6.43±0.3ms          |    0.95 | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 40.0±0.9ms           | 38.7±2ms            |    0.97 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 797±6ms              | 807±10ms            |    1.01 | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.40±0.03s           | 1.41±0.04s          |    1.01 | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 428±4ms              | 431±10ms            |    1.01 | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 110±2M               | 116±5M              |    1.05 | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 36.3±1ms             | 40.3±3ms            |    1.11 | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 372±10ns             | 359±1ns             |    0.96 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 194±2ms              | 193±1ms             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 771±0.2k             | 771±0.5k            |    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)      |
|          | 27.8±0M              | 25±0.04M            |    0.9  | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 101±2M               | 96.5±0.03M          |    0.95 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 102±0.3M             | 96.5±0.02M          |    0.95 | 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)                 |
|          | 6.74±0.05ms          | 6.67±0.05ms         |    0.99 | plot.AuxSort.time_aux_sort                                                                  |
|          | 78.8±3ms             | 75.9±3ms            |    0.96 | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 105±6ms              | 105±6ms             |    1    | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 63.6±3ms             | 65.4±6ms            |    1.03 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.08M            | 107±0.09M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.82±0.05ms          | 4.83±0.1ms          |    1    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 42.0±0.2ms           | 40.9±0.7ms          |    0.97 | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 87.1±0.3ns           | 87.3±0.9ns          |    1    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 87.8±0.2ns           | 87.9±0.9ns          |    1    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 449±2ms              | 423±5ms             |    0.94 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.7±0.3k            | 31.9±0.3k           |    1.01 | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 31.7±0.4k            | 31.8±0.4k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 225±20M              | 225±9M              |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 39.7±0.7ms           | 39.4±0.5ms          |    0.99 | stats.PearsonR.time_lazy                                                                    |
|          | 9.70±0.2ms           | 9.49±0.3ms          |    0.98 | stats.PearsonR.time_real                                                                    |
|          | 29.5±0.4M            | 29.2±0.8M           |    0.99 | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0.01M           | 18.3±0.01M          |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 25.6±0.5ms           | 25.3±0.6ms          |    0.99 | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 62.6±0.5ms           | 63.6±1ms            |    1.02 | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.75±0.02M           | 7.75±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |
```

</details>

Generated by GHA run [`16170051525`](https://github.com/SciTools/iris/actions/runs/16170051525)

github-actions[bot]: 
# :stopwatch: Performance Benchmark Report: cc35162e

<details>
<summary>Performance shifts</summary>

```
| Change   | Before [fdb4b493]    | After [cc35162e]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.93±0.2ms           | 1.94±0.02ms         |    0.2  | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.88±0.09ms          | 1.39±0.02ms         |    0.2  | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 44.7±0.7ms           | 28.9±0.7ms          |    0.65 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 470±6ms              | 270±3ms             |    0.57 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 358±3ms              | 153±2ms             |    0.43 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 502±6ms              | 303±4ms             |    0.6  | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 36.3±0.6ms           | 365±4μs             |    0.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 30.1±0.6ms           | 19.9±0.6ms          |    0.66 | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 208±3ms              | 51.2±1ms            |    0.25 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 30.1±0.4ms           | 19.9±0.5ms          |    0.66 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 30.8±0.7ms           | 19.8±0.8ms          |    0.64 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 35.8±0.5ms           | 21.5±0.4ms          |    0.6  | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 283±4ms              | 63.2±0.5ms          |    0.22 | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 35.4±0.8ms           | 21.9±0.8ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 38.0±1ms             | 23.6±0.5ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 209±1ms              | 19.3±0.2ms          |    0.09 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 205±2ms              | 22.8±0.6ms          |    0.11 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 665±8ms              | 126±2ms             |    0.19 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.14±0.01s           | 618±9ms             |    0.54 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.44±0.1M           |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 625±9ms              | 82.4±1ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.10±0.02s           | 565±5ms             |    0.51 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.43±0.03M          |    0.14 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 666±6ms              | 90.6±0.8ms          |    0.14 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.08±0.01s           | 504±10ms            |    0.47 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 97.9±1ms             | 67.7±1ms            |    0.69 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 10.2±0.3M            | 1.77±0.2M           |    0.17 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |
```

</details>

<details>
<summary>Full benchmark results</summary>

```

Benchmarks that have improved:

| Change   | Before [fdb4b493]    | After [cc35162e]    |   Ratio | Benchmark (Parameter)                                                                      |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------------------|
| -        | 9.93±0.2ms           | 1.94±0.02ms         |    0.2  | cube.CubeCreation.time_create(True, 'construct')                                           |
| -        | 6.88±0.09ms          | 1.39±0.02ms         |    0.2  | cube.CubeCreation.time_create(True, 'instantiate')                                         |
| -        | 44.7±0.7ms           | 28.9±0.7ms          |    0.65 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                           |
| -        | 470±6ms              | 270±3ms             |    0.57 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                   |
| -        | 358±3ms              | 153±2ms             |    0.43 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                            |
| -        | 502±6ms              | 303±4ms             |    0.6  | cube.CubeEquality.time_equality(True, True, 'data_inequality')                             |
| -        | 36.3±0.6ms           | 365±4μs             |    0.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                         |
| -        | 30.1±0.6ms           | 19.9±0.6ms          |    0.66 | load.ugrid.BasicLoading.time_load_file(1)                                                  |
| -        | 208±3ms              | 51.2±1ms            |    0.25 | load.ugrid.BasicLoading.time_load_file(200000)                                             |
| -        | 30.1±0.4ms           | 19.9±0.5ms          |    0.66 | load.ugrid.BasicLoadingTime.time_load_file(1)                                              |
| -        | 30.8±0.7ms           | 19.8±0.8ms          |    0.64 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                         |
| -        | 35.8±0.5ms           | 21.5±0.4ms          |    0.6  | load.ugrid.Callback.time_load_file_callback(1)                                             |
| -        | 283±4ms              | 63.2±0.5ms          |    0.22 | load.ugrid.Callback.time_load_file_callback(200000)                                        |
| -        | 35.4±0.8ms           | 21.9±0.8ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(1)                                         |
| -        | 38.0±1ms             | 23.6±0.5ms          |    0.62 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                    |
| -        | 209±1ms              | 19.3±0.2ms          |    0.09 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)          |
| -        | 205±2ms              | 22.8±0.6ms          |    0.11 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)         |
| -        | 8.83±0.01M           | 1.27±0.04M          |    0.14 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)   |
| -        | 665±8ms              | 126±2ms             |    0.19 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)        |
| -        | 1.14±0.01s           | 618±9ms             |    0.54 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)       |
| -        | 9.92±0.3M            | 1.44±0.1M           |    0.15 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) |
| -        | 625±9ms              | 82.4±1ms            |    0.13 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                            |
| -        | 1.10±0.02s           | 565±5ms             |    0.51 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                           |
| -        | 9.94±0.3M            | 1.43±0.03M          |    0.14 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                     |
| -        | 666±6ms              | 90.6±0.8ms          |    0.14 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                            |
| -        | 1.08±0.01s           | 504±10ms            |    0.47 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                           |
| -        | 97.9±1ms             | 67.7±1ms            |    0.69 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                            |
| -        | 10.2±0.3M            | 1.77±0.2M           |    0.17 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                          |

Benchmarks that have stayed the same:

| Change   | Before [fdb4b493]    | After [cc35162e]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 21.5±0.3ms           | 21.6±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 53.7±0.6ms           | 54.2±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 35.8±0.5ms           | 36.2±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 174±4ms              | 175±2ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.5±0.2ms           | 23.5±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 32.7±0.3ms           | 32.9±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 23.6±0.5ms           | 24.0±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 32.5±0.5ms           | 33.0±0.3ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.0±0.2ms           | 21.6±0.3ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 45.1±1ms             | 46.0±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 127±1ms              | 130±0.8ms           |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 131±2ms              | 131±2ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.8±0.4ms           | 22.5±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 49.7±0.4ms           | 50.5±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 23.6±0.3ms           | 24.2±0.6ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 59.2±0.7ms           | 60.5±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 21.7±0.4ms           | 21.5±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 45.7±0.6ms           | 46.5±0.6ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.08±0.01s           | 1.10±0.01s          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.08±0.01s           | 1.08±0.01s          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 216±2ms              | 218±2ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 353±8ms              | 357±10ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 22.6±0.2ms           | 22.6±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 31.1±0.5ms           | 31.5±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 22.7±0.5ms           | 22.9±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 60.9±1ms             | 61.8±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 23.5±0.4ms           | 24.1±0.3ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 62.9±0.9ms           | 64.2±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 23.5±0.4ms           | 23.8±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 59.4±1ms             | 60.0±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 8.11±0.09ms          | 8.12±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 22.4±0.8ms           | 22.8±0.7ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 20.5±0.2ms           | 20.1±0.2ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 133±4ms              | 136±1ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.50±0.02ms          | 8.36±0.09ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 21.3±0.6ms           | 21.1±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.45±0.08ms          | 8.36±0.08ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 21.2±0.8ms           | 21.2±0.7ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 7.83±0.07ms          | 8.05±0.06ms         |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 21.4±0.6ms           | 21.4±0.6ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 24.9±0.2ms           | 24.7±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 35.9±0.5ms           | 35.6±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.17±0.06ms          | 8.25±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 21.5±0.4ms           | 21.7±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 9.39±0.2ms           | 9.28±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 24.3±0.6ms           | 23.7±0.6ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 8.09±0.2ms           | 8.13±0.06ms         |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 21.6±0.7ms           | 21.6±0.6ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 534±2ms              | 532±2ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 541±4ms              | 545±2ms             |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 45.9±0.2ms           | 46.5±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 142±5ms              | 146±3ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.34±0.1ms           | 8.26±0.08ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 21.0±0.6ms           | 20.8±0.5ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.40±0.09ms          | 8.37±0.08ms         |    1    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 23.3±0.8ms           | 23.7±0.8ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.31±0.05ms          | 8.59±0.06ms         |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 23.2±0.7ms           | 23.6±0.8ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.39±0.2ms           | 8.58±0.07ms         |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 22.7±0.8ms           | 22.6±1ms            |    1    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 22.9±0.2ms           | 23.0±0.3ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 84.8±2ms             | 86.1±2ms            |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 23.3±0.2ms           | 23.1±0.3ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 96.8±2ms             | 97.6±2ms            |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 22.1±0.2ms           | 22.2±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 56.9±0.7ms           | 57.8±2ms            |    1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.58±0.04ms          | 8.46±0.09ms         |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 28.2±1ms             | 28.9±0.8ms          |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.52±0.1ms           | 8.40±0.1ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 29.9±0.4ms           | 30.4±0.7ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 7.99±0.08ms          | 8.20±0.08ms         |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 23.6±1ms             | 23.8±0.7ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 220±4ms              | 225±5ms             |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 284±5ms              | 292±2ms             |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.15±0.01ms          | 1.15±0.01ms         |    1    | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 403±4μs              | 396±6μs             |    0.98 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 100±6ms              | 98.2±3ms            |    0.98 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 26.9±1ms             | 25.9±1ms            |    0.96 | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 118±5ms              | 109±4ms             |    0.93 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 17.8±0.2μs           | 17.4±0.2μs          |    0.98 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 119±2ms              | 103±5ms             |    0.86 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 136±2ms              | 115±4ms             |    0.85 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.7±0.2μs           | 17.5±0.2μs          |    0.99 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 190±2ms              | 192±9ms             |    1.01 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 71.9±2ms             | 72.7±0.9ms          |    1.01 | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 224±5ms              | 226±10ms            |    1.01 | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 53.2±0.3μs           | 52.0±0.8μs          |    0.98 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 790±10μs             | 799±30μs            |    1.01 | import_iris.Iris.time__concatenate                                                          |
|          | 186±2μs              | 188±3μs             |    1.01 | import_iris.Iris.time__constraints                                                          |
|          | 116±2μs              | 117±2μs             |    1.01 | import_iris.Iris.time__data_manager                                                         |
|          | 92.8±0.8μs           | 92.4±1μs            |    1    | import_iris.Iris.time__deprecation                                                          |
|          | 163±2μs              | 165±2μs             |    1.01 | import_iris.Iris.time__lazy_data                                                            |
|          | 896±10μs             | 907±10μs            |    1.01 | import_iris.Iris.time__merge                                                                |
|          | 74.5±1μs             | 75.1±0.4μs          |    1.01 | import_iris.Iris.time__representation                                                       |
|          | 607±5μs              | 619±7μs             |    1.02 | import_iris.Iris.time_analysis                                                              |
|          | 142±1μs              | 142±1μs             |    1    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 107±3μs              | 106±0.9μs           |    1    | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 256±4μs              | 250±3μs             |    0.97 | import_iris.Iris.time_analysis__interpolation                                               |
|          | 193±6μs              | 197±2μs             |    1.02 | import_iris.Iris.time_analysis__regrid                                                      |
|          | 113±0.8μs            | 112±1μs             |    0.99 | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 136±0.6μs            | 136±0.9μs           |    1    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 323±4μs              | 326±1μs             |    1.01 | import_iris.Iris.time_analysis_cartography                                                  |
|          | 91.8±2μs             | 91.3±2μs            |    0.99 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 212±1μs              | 213±1μs             |    1    | import_iris.Iris.time_analysis_maths                                                        |
|          | 94.3±0.8μs           | 94.2±0.4μs          |    1    | import_iris.Iris.time_analysis_stats                                                        |
|          | 173±1μs              | 176±2μs             |    1.02 | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 323±9μs              | 327±2μs             |    1.01 | import_iris.Iris.time_aux_factory                                                           |
|          | 82.2±1μs             | 81.2±0.9μs          |    0.99 | import_iris.Iris.time_common                                                                |
|          | 162±2μs              | 161±1μs             |    0.99 | import_iris.Iris.time_common_lenient                                                        |
|          | 1.36±0.02ms          | 1.35±0.02ms         |    0.99 | import_iris.Iris.time_common_metadata                                                       |
|          | 168±1μs              | 173±2μs             |    1.03 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.17±0.01ms          | 1.17±0.01ms         |    1    | import_iris.Iris.time_common_resolve                                                        |
|          | 199±2μs              | 199±2μs             |    1    | import_iris.Iris.time_config                                                                |
|          | 126±0.9μs            | 125±2μs             |    0.99 | import_iris.Iris.time_coord_categorisation                                                  |
|          | 389±8μs              | 386±7μs             |    0.99 | import_iris.Iris.time_coord_systems                                                         |
|          | 778±20μs             | 770±4μs             |    0.99 | import_iris.Iris.time_coords                                                                |
|          | 652±20μs             | 676±10μs            |    1.04 | import_iris.Iris.time_cube                                                                  |
|          | 236±2μs              | 236±5μs             |    1    | import_iris.Iris.time_exceptions                                                            |
|          | 74.1±0.9μs           | 74.4±0.6μs          |    1    | import_iris.Iris.time_experimental                                                          |
|          | 178±2μs              | 179±1μs             |    1.01 | import_iris.Iris.time_fileformats                                                           |
|          | 260±5μs              | 264±7μs             |    1.02 | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.58±0.03ms          | 2.58±0.02ms         |    1    | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 76.7±1μs             | 76.2±1μs            |    0.99 | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 115±1μs              | 114±0.9μs           |    0.99 | import_iris.Iris.time_fileformats_abf                                                       |
|          | 435±10μs             | 456±10μs            |    1.05 | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.79±0.09ms          | 4.99±0.1ms          |    1.04 | import_iris.Iris.time_fileformats_dot                                                       |
|          | 70.5±2μs             | 71.6±0.4μs          |    1.02 | import_iris.Iris.time_fileformats_name                                                      |
|          | 251±2μs              | 252±3μs             |    1.01 | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 114±1μs              | 113±0.9μs           |    0.99 | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 122±2μs              | 123±1μs             |    1.01 | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 209±8μs              | 213±3μs             |    1.02 | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 797±6μs              | 807±9μs             |    1.01 | import_iris.Iris.time_fileformats_pp                                                        |
|          | 177±5μs              | 179±4μs             |    1.01 | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 135±0.7μs            | 137±1μs             |    1.02 | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 539±3μs              | 545±9μs             |    1.01 | import_iris.Iris.time_fileformats_rules                                                     |
|          | 221±2μs              | 220±4μs             |    1    | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 81.0±0.2μs           | 81.0±2μs            |    1    | import_iris.Iris.time_fileformats_um                                                        |
|          | 158±1μs              | 159±2μs             |    1    | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 139±2μs              | 141±0.9μs           |    1.01 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 73.7±0.4μs           | 72.6±0.9μs          |    0.99 | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 79.5±0.9μs           | 78.9±0.5μs          |    0.99 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 947±6μs              | 945±5μs             |    1    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 138±2μs              | 138±0.6μs           |    1    | import_iris.Iris.time_io                                                                    |
|          | 177±5μs              | 176±3μs             |    1    | import_iris.Iris.time_io_format_picker                                                      |
|          | 217±3μs              | 214±1μs             |    0.98 | import_iris.Iris.time_iris                                                                  |
|          | 127±1μs              | 126±0.8μs           |    0.99 | import_iris.Iris.time_iterate                                                               |
|          | 8.26±0.04ms          | 8.22±0.08ms         |    1    | import_iris.Iris.time_palette                                                               |
|          | 1.79±0.02ms          | 1.76±0.01ms         |    0.99 | import_iris.Iris.time_plot                                                                  |
|          | 219±3μs              | 220±1μs             |    1    | import_iris.Iris.time_quickplot                                                             |
|          | 2.15±0.03ms          | 2.15±0.01ms         |    1    | import_iris.Iris.time_std_names                                                             |
|          | 1.82±0.01ms          | 1.83±0.02ms         |    1    | import_iris.Iris.time_symbols                                                               |
|          | 34.9±0.7ms           | 35.2±2ms            |    1.01 | import_iris.Iris.time_tests                                                                 |
|          | 252±0.8μs            | 251±4μs             |    1    | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.06±0.05ms          | 5.15±0.05ms         |    1.02 | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 118±2μs              | 117±1μs             |    1    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.75±0.03ms          | 2.72±0.01ms         |    0.99 | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.30±0ms             | 1.31±0.01ms         |    1.01 | import_iris.Iris.time_third_party_numpy                                                     |
|          | 169±2μs              | 172±2μs             |    1.02 | import_iris.Iris.time_third_party_scipy                                                     |
|          | 99.3±1μs             | 100±1μs             |    1.01 | import_iris.Iris.time_time                                                                  |
|          | 356±4μs              | 355±7μs             |    1    | import_iris.Iris.time_util                                                                  |
|          | 72.8±0.5μs           | 70.2±2μs            |    0.96 | iterate.IZip.time_izip                                                                      |
|          | 10.3±0.2ms           | 10.1±0.08ms         |    0.98 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 17.0±1ms             | 17.2±0.2ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.2±0.3ms           | 10.2±0.2ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 10.1±0.1ms           | 10.1±0.1ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 14.0±0.6ms           | 13.8±0.1ms          |    0.99 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 10.0±0.1ms           | 10.1±0.05ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.54±0.02s           | 1.53±0.01s          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.5±0.07ms          | 12.7±0.2ms          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.54±0.02s           | 1.55±0.02s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.53±0.03s           | 1.55±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 12.8±0.2ms           | 12.6±0.2ms          |    0.98 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.53±0.04s           | 1.56±0.01s          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.36±0.04ms          | 5.41±0.05ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 12.5±0.3ms           | 12.3±0.2ms          |    0.99 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.47±0.09ms          | 5.45±0.1ms          |    1    | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.55±0.08ms          | 5.32±0.03ms         |    0.96 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 12.5±0.3ms           | 12.8±0.2ms          |    1.03 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.33±0.05ms          | 5.32±0.04ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 27.7±2ms             | 25.4±3ms            |    0.92 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 29.7±1ms             | 26.2±2ms            |    0.88 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 15.3±1ms             | 13.6±2ms            |    0.89 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 30.1±1ms             | 29.1±2ms            |    0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 87.2±0.6ms           | 85.6±2ms            |    0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 29.9±0.9ms           | 29.1±0.9ms          |    0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 622±7ms              | 619±4ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.73±0.2ms           | 3.74±0.1ms          |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 626±8ms              | 621±3ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 626±2ms              | 624±3ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.98±0.2ms           | 3.80±0.06ms         |    0.95 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 627±4ms              | 622±2ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.14±0.05ms          | 2.14±0.07ms         |    1    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.80±0.2ms           | 3.67±0.05ms         |    0.97 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.10±0.07ms          | 2.11±0.1ms          |    1    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.20±0.04ms          | 2.21±0.06ms         |    1    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.70±0.2ms           | 3.82±0.1ms          |    1.03 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.30±0.07ms          | 2.19±0.1ms          |    0.95 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 349±2ms              | 350±2ms             |    1    | load.ManyCubes.time_many_cube_load                                                          |
|          | 92.1±0.6ms           | 91.7±0.9ms          |    1    | load.ManyVars.time_many_var_load                                                            |
|          | 10.2±0.1ms           | 10.2±0.2ms          |    1    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.2±0.2ms           | 10.3±0.09ms         |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.54±0.01s           | 1.52±0.01s          |    0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.57±0.01s           | 1.55±0.02s          |    0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.44±0.09ms          | 5.54±0.08ms         |    1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.35±0.2ms           | 5.44±0.02ms         |    1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.30±0.08ms          | 9.15±0.09ms         |    0.98 | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.65±0.03ms          | 5.74±0.08ms         |    1.02 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.51±0.01s           | 1.51±0.01s          |    1    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 429±4ms              | 427±4ms             |    1    | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.45±0.04ms          | 4.48±0.02ms         |    1.01 | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.33±0.03ms          | 4.35±0.06ms         |    1.01 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 167±0.9ms            | 168±4ms             |    1.01 | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 15.6±0.4ms           | 15.8±0.2ms          |    1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 168±3ms              | 169±0.7ms           |    1.01 | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 33.3±0.5ms           | 34.1±0.2ms          |    1.02 | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 15.7±0.1ms           | 15.3±0.1ms          |    0.98 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 33.7±0.3ms           | 33.9±0.5ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 9.28±0.2ms           | 9.29±0.2ms          |    1    | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 18.4±0.5ms           | 18.0±0.5ms          |    0.98 | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 9.24±0.2ms           | 9.18±0.4ms          |    0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 12.8±0.4ms           | 13.3±0.7ms          |    1.04 | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 3.92±0.1ms           | 3.84±0.1ms          |    0.98 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 7.06±0.2ms           | 6.97±0.4ms          |    0.99 | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 41.9±3ms             | 41.5±1ms            |    0.99 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 815±70ms             | 802±30ms            |    0.98 | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.48±0.07s           | 1.46±0.04s          |    0.99 | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 433±6ms              | 445±8ms             |    1.03 | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 110±6M               | 110±5M              |    1    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 41.0±6ms             | 38.9±2ms            |    0.95 | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 365±5ns              | 366±4ns             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 197±2ms              | 197±9ms             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 771±0.2k             | 772±0.5k            |    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)      |
|          | 27.8±0M              | 25±0.04M            |    0.9  | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 101±2M               | 96.5±0.02M          |    0.95 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 102±0.3M             | 96.5±0.03M          |    0.95 | 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)                 |
|          | 6.91±0.05ms          | 6.87±0.04ms         |    0.99 | plot.AuxSort.time_aux_sort                                                                  |
|          | 84.3±7ms             | 87.8±4ms            |    1.04 | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 108±6ms              | 109±6ms             |    1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 66.3±3ms             | 72.0±3ms            |    1.09 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.09M            | 107±0.08M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.90±0.08ms          | 4.90±0.07ms         |    1    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 44.0±1ms             | 44.0±0.8ms          |    1    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 88.0±1ns             | 86.0±0.2ns          |    0.98 | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 88.9±2ns             | 86.5±0.3ns          |    0.97 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 471±6ms              | 430±20ms            |    0.91 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.7±0.3k            | 31.8±0.3k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 31.5±0.3k            | 31.6±0.2k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 199±20M              | 191±20M             |    0.96 | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 40.4±0.6ms           | 41.3±0.6ms          |    1.02 | stats.PearsonR.time_lazy                                                                    |
|          | 9.90±0.4ms           | 10.1±0.1ms          |    1.02 | stats.PearsonR.time_real                                                                    |
|          | 29.8±0.9M            | 29.4±0.4M           |    0.99 | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0.01M           | 18.3±0.01M          |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 25.7±0.7ms           | 28.3±2ms            |    1.1  | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 63.2±0.4ms           | 63.3±1ms            |    1    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.75±0.02M           | 7.75±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |
```

</details>

Generated by GHA run [`16175114077`](https://github.com/SciTools/iris/actions/runs/16175114077)

ESadek-MO: Benchmarks have retained the improvement, though metadata_equality seems have gotten even faster. I'm not convinced that's meaningful, but might be worth another run locally. 
pp-mo: > Benchmarks have retained the improvement, though metadata_equality seems have gotten even faster. I'm not convinced that's meaningful, but might be worth another run locally.
> 
> EDIT: After running multiple times locally, it's consistantly in the 500s. I'm fine calling it an anomaly, and not rerunning the benchmarks on this PR.

OK I've re-checked the benchmark results against those from #6465, and I'm totally happy that the remaining shifts are expected and acceptable.
pp-mo: Huge thanks @ESadek-MO 
This one required a lot of stick-ability ! :strong:

Patch:
diff --git a/lib/iris/coords.py b/lib/iris/coords.py
index bdfefef3d..6b263fbec 100644
--- a/lib/iris/coords.py
+++ b/lib/iris/coords.py
@@ -573,8 +573,9 @@ class _DimensionalMetadata(CFVariableMixin, metaclass=ABCMeta):
 
     def __setattr__(self, key, value):
         if getattr(self, "_mesh_timestamps", None) is not None:
-            for timestamp in self._mesh_timestamps:
-                timestamp.update()
+            if key in ("points", "bounds", "_values", "indices"):
+                for timestamp in self._mesh_timestamps:
+                    timestamp.update()
         object.__setattr__(self, key, value)
 
     def __str__(self):
diff --git a/lib/iris/mesh/components.py b/lib/iris/mesh/components.py
index 022fb39da..f60d5553c 100644
--- a/lib/iris/mesh/components.py
+++ b/lib/iris/mesh/components.py
@@ -2481,7 +2481,6 @@ class _MeshConnectivityManagerBase(ABC):
 
     @property
     def _members(self):
-        self.timestamp.update()
         return self._members_dict
 
     @_members.setter
@@ -2776,6 +2775,7 @@ class MeshCoord(AuxCoord):
         self._last_modified = None
         self._updating = True
         self._read_only = True
+
         # Setup the metadata.
         self._metadata_manager_temp = metadata_manager_factory(MeshCoordMetadata)
 
@@ -2820,20 +2820,25 @@ class MeshCoord(AuxCoord):
             raise e
         finally:
             self._read_only = True
+        self._last_modified = self.mesh._last_modified
         self._updating = False
 
     def __getattribute__(self, item):
-        # Ensure that the MeshCoord is up to date whenever you use it
+        # Ensure that the MeshCoord is up to date each time you access an attribute.
         # object.__getattribute__ bypasses this block to avoid infinite recursion
-        # by calling the method on the base class `object`
-        updating = object.__getattribute__(self, "_updating")
-        if updating is False and item != "update_from_mesh":
+        # by calling the method on the base class `object`.
+        mesh = object.__getattribute__(self, "_mesh")
+        mesh_last_modified = object.__getattribute__(mesh, "_last_modified")
+        self_last_modified = object.__getattribute__(self, "_last_modified")
+        if (
+            self_last_modified is None or self_last_modified < mesh_last_modified
+        ) and item != "update_from_mesh":
             object.__getattribute__(self, "update_from_mesh")()
         return super().__getattribute__(item)
 
-        # Define accessors for MeshCoord-specific properties mesh/location/axis.
+    # Define accessors for MeshCoord-specific properties mesh/location/axis, and
+    # ensure every property on a MeshCoord is read-only.
 
-    # These are all read-only.
     @property
     def mesh(self):
         return self._mesh
@@ -2943,7 +2948,8 @@ class MeshCoord(AuxCoord):
     def points(self):
         """The coordinate points values as a NumPy array."""
         try:
-            # the points property should return real data, but shouldn't realise the coord on the mesh
+            # The points property should return real data, but shouldn't
+            # realise the coord on the mesh.
             return super().core_points().compute()
         except AttributeError:
             return super().core_points()
@@ -2957,6 +2963,8 @@ class MeshCoord(AuxCoord):
 
     @property
     def bounds(self):
+        # The bounds property should return real data, but shouldn't
+        # realise the coord on the mesh.
         try:
             return super().core_bounds().compute()
         except AttributeError:
@@ -2973,9 +2981,8 @@ class MeshCoord(AuxCoord):
 
     @property
     def _metadata_manager(self):
-        # sets the metadata
+        # Fetches the metadata from the mesh every time any metadata is accessed.
         use_metadict = self._load_metadata()
-
         self._metadata_manager_temp.standard_name = use_metadict["standard_name"]
         self._metadata_manager_temp.long_name = use_metadict["long_name"]
         self._metadata_manager_temp.var_name = use_metadict["var_name"]
@@ -2999,22 +3006,27 @@ class MeshCoord(AuxCoord):
         return self.copy()
 
     def update_from_mesh(self):
-        try:
-            object.__setattr__(self, "_updating", True)
-            if (self._last_modified is None) or (
-                self._last_modified < self.mesh._last_modified
-            ):
+        """Fetch and recalculate the points and bounds from the relevant coord on the mesh.
+
+        In most cases, updates should be done automatically, but this method can be used
+        if for some reason the points or bounds are out of date.
+        """
+        updating = object.__getattribute__(self, "_updating")
+        if updating is False:
+            try:
+                object.__setattr__(self, "_updating", True)
+                # update points and bounds
                 points, bounds = self._load_points_and_bounds()
                 super(MeshCoord, self.__class__).points.fset(self, points)
                 super(MeshCoord, self.__class__).bounds.fset(self, bounds)
                 object.__setattr__(self, "_last_modified", self.mesh._last_modified)
-        # Ensure errors aren't bypassed
-        except Exception as e:
-            raise e
-        finally:
-            # if _updating isn't reset, this would mean the MeshCoord would never
-            # update from the attached Mesh, breaking the link
-            object.__setattr__(self, "_updating", False)
+            # Ensure errors aren't bypassed
+            except Exception as e:
+                raise e
+            finally:
+                # if _updating isn't reset, this would mean the MeshCoord would never
+                # update from the attached Mesh, breaking the link
+                object.__setattr__(self, "_updating", False)
 
     def collapsed(self, dims_to_collapse=None):
         """Return a copy of this coordinate, which has been collapsed along the specified dimensions.
@@ -3188,6 +3200,7 @@ class MeshCoord(AuxCoord):
             #  extra work to refactor the parent classes.
             msg = "Cannot yet create a MeshCoord without points."
             raise ValueError(msg)
+
         return points, bounds
 
     def _load_metadata(self):


Test patch:
diff --git a/lib/iris/tests/unit/mesh/components/test_MeshCoord.py b/lib/iris/tests/unit/mesh/components/test_MeshCoord.py
index 6379e02fe..7d64fa132 100644
--- a/lib/iris/tests/unit/mesh/components/test_MeshCoord.py
+++ b/lib/iris/tests/unit/mesh/components/test_MeshCoord.py
@@ -1030,7 +1030,9 @@ class Test__updates_from_mesh:
             c.__setattr__(name, value)
 
     def test__last_modified(self):
-        # Ensure they are identical at creation.
+        # Ensure that mesh._last_modified is updated when you update the mesh, and
+        # and meshcoord._last_modified is updated to match that.
+
         assert self.meshcoord.mesh._last_modified == self.timestamp_at_creation
 
         self.coord_on_mesh.points = np.zeros(3)
@@ -1038,25 +1040,32 @@ class Test__updates_from_mesh:
         assert self.meshcoord.mesh._last_modified == self.meshcoord._last_modified
         assert self.meshcoord.mesh._last_modified != self.timestamp_at_creation
 
-        self.meshcoord.standard_name
-
-        assert self.meshcoord.mesh._last_modified == self.meshcoord._last_modified
-        assert self.meshcoord.mesh._last_modified != self.timestamp_at_creation
-
-    def test_points(self):
+    def test_points(self, mocker):
         zeroes = np.zeros(3)
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
+        mocked.return_value = (
+            zeroes,
+            np.zeros((3, 3)),
+        )
         assert self.meshcoord.points.all() != zeroes.all()
         self.coord_on_mesh.points = zeroes
         assert self.meshcoord.points.all() == zeroes.all()
+        mocked.assert_called_once()
 
-    def test_bounds(self):
+    def test_bounds(self, mocker):
         zero_bounds = np.zeros(3)
         zero_points = np.zeros(15)
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
+        mocked.return_value = (
+            zero_bounds,
+            np.zeros((3, 3)),
+        )
         assert self.meshcoord.bounds.all() != zero_bounds.all()
         # Node coords are used to calculate the meshcoord bounds
         for nc in self.meshcoord.mesh.node_coords:
             nc.points = zero_points
         assert self.meshcoord.bounds.all() == zero_bounds.all()
+        mocked.assert_called_once()
 
     @pytest.mark.parametrize(
         "metadata_name, value",
@@ -1066,23 +1075,37 @@ class Test__updates_from_mesh:
             ("attributes", {"foo": 1}),
         ],
     )
-    def test_basic_metadata(self, metadata_name, value):
+    def test_basic_metadata(self, metadata_name, value, mocker):
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
+
         self.coord_on_mesh.__setattr__(metadata_name, value)
         assert self.meshcoord.__getattribute__(
             metadata_name
         ) == self.coord_on_mesh.__getattribute__(metadata_name)
 
-    def test_units(self):
+        # Ensure updating metadata doesn't prompt the MeshCoord
+        # to update points and bounds.
+        mocked.assert_not_called()
+
+    def test_units(self, mocker):
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
         for c in self.mesh.coords():
             c.units = "radians"
         assert self.meshcoord.standard_name == self.coord_on_mesh.standard_name
+        # Ensure updating metadata doesn't prompt the MeshCoord
+        # to update points and bounds.
+        mocked.assert_not_called()
 
-    def test_standard_name(self):
+    def test_standard_name(self, mocker):
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
         for c in self.mesh.coords(axis="x"):
             c.standard_name = "grid_longitude"
         for c in self.mesh.coords(axis="y"):
             c.standard_name = "grid_latitude"
         assert self.meshcoord.standard_name == self.coord_on_mesh.standard_name
+        # Ensure updating metadata doesn't prompt the MeshCoord
+        # to update points and bounds.
+        mocked.assert_not_called()
 
     def test_updates(self, mocker):
         mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
@@ -1093,13 +1116,31 @@ class Test__updates_from_mesh:
             np.zeros((3, 3)),
         )
         self.coord_on_mesh.points = np.zeros(3)
-        # Only the first update should actually update
-        _ = self.meshcoord.update_from_mesh()
-        _ = self.meshcoord.update_from_mesh()
+        # Only the first time you access an attribute should fetch
+        # update the points and bounds.
+
+        self.meshcoord.standard_name
+        self.meshcoord.standard_name
         mocked.assert_called_once()
 
         # Ensure it updates more than once if the mesh has been updated
-        # a second time
+        # a second time.
         self.coord_on_mesh.points = np.ones(3)
-        _ = self.meshcoord.update_from_mesh()
+        self.meshcoord.standard_name
+        assert mocked.call_count == 2
+
+    def test_update_from_mesh(self, mocker):
+        mocked = mocker.patch.object(MeshCoord, "_load_points_and_bounds")
+        mocked.return_value = (
+            np.zeros(
+                3,
+            ),
+            np.zeros((3, 3)),
+        )
+        self.coord_on_mesh.points = np.zeros(3)
+        self.meshcoord.update_from_mesh()
+        mocked.assert_called_once()
+
+        # Ensure it forces an update, even if the mesh hasn't been updated.
+        self.meshcoord.update_from_mesh()
         assert mocked.call_count == 2