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Unpin dask and pin it to >=2025.1.0 and unSKIP doctests #6312

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🚀 Pull Request

Description

Dask solved their severe issue reported in #6251 in 2025.1.0, and unpinning - and pinning it to the earliest version that solves that issue was raised in #6264

I am also unSKIPping the doctests that @trexfeathers mentioned in #6264 (comment)

Closes #6264


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

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CLAassistant commented Feb 11, 2025

CLA assistant check
All committers have signed the CLA.

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Despite what the README says, please update these lock-files by using conda-lock or conda list --explicit

@valeriupredoi
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Despite what the README says, please update these lock-files

shall do now 🍺

@github-actions github-actions bot added the benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts label Feb 11, 2025
@valeriupredoi
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Despite what the README says, please update these lock-files by using conda-lock or conda list --explicit

updated them in ee6825e by using your own python tools/update_lockfiles.py -o requirements/locks requirements/py*.yml that uses conda-lock:

# Name                    Version                   Build  Channel
conda-lock                2.5.7              pyhd8ed1ab_1    conda-forge

Lemme know if I should rebuild them with conda-lock explicit, if your tool doesn't do the trick 🍺

trexfeathers
trexfeathers previously approved these changes Feb 12, 2025
@trexfeathers trexfeathers dismissed their stale review February 12, 2025 10:22

I didn't realise the tests hadn't run yet!

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⏱️ Performance Benchmark Report: 0f83317

Performance shifts
| Change   | Before [05221c44]    | After [0f833177]    |   Ratio | Benchmark (Parameter)                                                  |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------|
| -        | 37.5±0.5ms           | 30.0±0.4ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)         |
| -        | 38.4±0.5ms           | 30.5±0.3ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)          |
| -        | 37.4±0.6ms           | 30.1±0.3ms          |    0.81 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)         |
| -        | 38.6±0.7ms           | 30.5±0.4ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)          |
| -        | 480±20ms             | 366±7ms             |    0.76 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)    |
| -        | 478±20ms             | 360±6ms             |    0.75 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)     |
| -        | 36.7±0.3ms           | 28.7±0.3ms          |    0.78 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)    |
| -        | 38.1±0.7ms           | 29.2±0.8ms          |    0.77 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)     |
| -        | 25.8±0.7ms           | 17.8±0.3ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)          |
| -        | 30.1±0.6ms           | 21.7±0.5ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)           |
| -        | 23.2±0.7ms           | 15.9±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)          |
| -        | 27.8±1ms             | 19.9±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)           |
| -        | 23.6±1ms             | 15.8±0.4ms          |    0.67 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)          |
| -        | 27.3±0.7ms           | 19.7±0.3ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)           |
| -        | 23.6±0.4ms           | 16.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)            |
| -        | 28.5±0.6ms           | 20.3±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)             |
| -        | 36.6±0.9ms           | 29.9±0.6ms          |    0.82 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)        |
| -        | 41.0±0.8ms           | 34.1±0.9ms          |    0.83 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)         |
| -        | 24.8±0.8ms           | 16.9±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)           |
| -        | 28.8±0.7ms           | 20.6±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)            |
| -        | 26.7±0.6ms           | 19.2±0.2ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)         |
| -        | 30.9±0.3ms           | 22.9±0.3ms          |    0.74 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)          |
| -        | 23.5±0.5ms           | 16.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)            |
| -        | 27.6±0.5ms           | 20.2±0.3ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)             |
| -        | 23.1±0.5ms           | 15.2±0.5ms          |    0.66 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)     |
| -        | 27.8±0.7ms           | 19.3±0.5ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)      |
| -        | 26.4±0.4ms           | 18.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)            |
| -        | 30.7±0.5ms           | 22.0±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)             |
| -        | 26.1±0.4ms           | 18.0±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)        |
| -        | 30.5±0.2ms           | 21.9±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)         |
| -        | 25.0±0.3ms           | 17.4±0.5ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)       |
| -        | 29.8±0.4ms           | 20.9±0.4ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)        |
| -        | 30.3±0.6ms           | 22.9±0.6ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) |
| -        | 33.7±0.6ms           | 27.3±0.5ms          |    0.81 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)  |
| -        | 31.5±0.5ms           | 24.8±0.6ms          |    0.79 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)  |
| -        | 35.8±0.6ms           | 28.3±0.3ms          |    0.79 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)   |
| -        | 25.7±0.5ms           | 18.4±0.3ms          |    0.72 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)  |
| -        | 29.9±0.6ms           | 22.1±0.2ms          |    0.74 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)   |
| Change   | Before [05221c44]    | After [0f833177]    |   Ratio | Benchmark (Parameter)                                                                     |
|----------|----------------------|---------------------|---------|-------------------------------------------------------------------------------------------|
| +        | 12.6±0.05M           | 24.9±0M             |    1.98 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500) |
| +        | 24.3±1M              | 29.4±0.3M           |    1.21 | stats.PearsonR.tracemalloc_lazy                                                           |
Full benchmark results

Benchmarks that have improved:

| Change   | Before [05221c44]    | After [0f833177]    |   Ratio | Benchmark (Parameter)                                                  |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------|
| -        | 37.5±0.5ms           | 30.0±0.4ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)         |
| -        | 38.4±0.5ms           | 30.5±0.3ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)          |
| -        | 37.4±0.6ms           | 30.1±0.3ms          |    0.81 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)         |
| -        | 38.6±0.7ms           | 30.5±0.4ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)          |
| -        | 480±20ms             | 366±7ms             |    0.76 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)    |
| -        | 478±20ms             | 360±6ms             |    0.75 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)     |
| -        | 36.7±0.3ms           | 28.7±0.3ms          |    0.78 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)    |
| -        | 38.1±0.7ms           | 29.2±0.8ms          |    0.77 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)     |
| -        | 25.8±0.7ms           | 17.8±0.3ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)          |
| -        | 30.1±0.6ms           | 21.7±0.5ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)           |
| -        | 23.2±0.7ms           | 15.9±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)          |
| -        | 27.8±1ms             | 19.9±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)           |
| -        | 23.6±1ms             | 15.8±0.4ms          |    0.67 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)          |
| -        | 27.3±0.7ms           | 19.7±0.3ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)           |
| -        | 23.6±0.4ms           | 16.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)            |
| -        | 28.5±0.6ms           | 20.3±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)             |
| -        | 36.6±0.9ms           | 29.9±0.6ms          |    0.82 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)        |
| -        | 41.0±0.8ms           | 34.1±0.9ms          |    0.83 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)         |
| -        | 24.8±0.8ms           | 16.9±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)           |
| -        | 28.8±0.7ms           | 20.6±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)            |
| -        | 26.7±0.6ms           | 19.2±0.2ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)         |
| -        | 30.9±0.3ms           | 22.9±0.3ms          |    0.74 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)          |
| -        | 23.5±0.5ms           | 16.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)            |
| -        | 27.6±0.5ms           | 20.2±0.3ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)             |
| -        | 23.1±0.5ms           | 15.2±0.5ms          |    0.66 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)     |
| -        | 27.8±0.7ms           | 19.3±0.5ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)      |
| -        | 26.4±0.4ms           | 18.5±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)            |
| -        | 30.7±0.5ms           | 22.0±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)             |
| -        | 26.1±0.4ms           | 18.0±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)        |
| -        | 30.5±0.2ms           | 21.9±0.4ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)         |
| -        | 25.0±0.3ms           | 17.4±0.5ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)       |
| -        | 29.8±0.4ms           | 20.9±0.4ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)        |
| -        | 30.3±0.6ms           | 22.9±0.6ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) |
| -        | 33.7±0.6ms           | 27.3±0.5ms          |    0.81 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)  |
| -        | 31.5±0.5ms           | 24.8±0.6ms          |    0.79 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)  |
| -        | 35.8±0.6ms           | 28.3±0.3ms          |    0.79 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)   |
| -        | 25.7±0.5ms           | 18.4±0.3ms          |    0.72 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)  |
| -        | 29.9±0.6ms           | 22.1±0.2ms          |    0.74 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)   |

Benchmarks that have stayed the same:

| Change   | Before [05221c44]    | After [0f833177]    | Ratio   | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 59.1±1ms             | 51.5±0.8ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 59.9±0.6ms           | 52.5±0.9ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 202±2ms              | 190±3ms             | 0.94    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 203±4ms              | 188±4ms             | 0.92    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 50.2±0.7ms           | 43.1±0.6ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 51.2±0.4ms           | 44.9±0.5ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 132±1ms              | 123±1ms             | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 132±0.4ms            | 125±1ms             | 0.95    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 54.7±0.8ms           | 46.5±0.6ms          | 0.85    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 55.1±1ms             | 47.3±0.7ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 62.1±1ms             | 54.9±0.5ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 64.0±0.9ms           | 55.7±0.3ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 50.0±0.9ms           | 43.4±0.7ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 50.3±0.7ms           | 44.0±0.8ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.08±0.01s           | 1.07±0.01s          | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.09±0.01s           | 1.07±0.01s          | 0.98    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 66.5±0.9ms           | 57.6±0.7ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 67.9±1ms             | 58.9±0.3ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 69.8±0.6ms           | 60.2±0.9ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 71.5±0.8ms           | 60.7±0.7ms          | 0.85    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 65.3±1ms             | 56.7±0.5ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 65.4±0.6ms           | 57.6±0.5ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 143±3ms              | 133±4ms             | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 157±3ms              | 149±3ms             | 0.95    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 551±4ms              | 538±2ms             | 0.98    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 553±5ms              | 540±1ms             | 0.98    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 151±2ms              | 137±5ms             | 0.91    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 169±2ms              | 156±2ms             | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 90.8±1ms             | 81.1±1ms            | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 92.5±2ms             | 81.6±1ms            | 0.88    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 104±0.7ms            | 93.4±1ms            | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 105±1ms              | 94.4±0.8ms          | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 61.2±0.8ms           | 54.6±0.9ms          | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 63.0±0.8ms           | 55.9±0.7ms          | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 314±8ms              | 275±3ms             | 0.87    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 334±7ms              | 295±4ms             | 0.89    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.15±0.01ms          | 1.14±0ms            | 0.99    | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 413±9μs              | 404±5μs             | 0.98    | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 956±8μs              | 1000±9μs            | 1.05    | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 582±10μs             | 593±8μs             | 1.02    | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 228±3ms              | 224±5ms             | 0.98    | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 124±2ms              | 120±3ms             | 0.97    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 255±3ms              | 249±7ms             | 0.98    | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 16.7±0.1μs           | 17.3±0.3μs          | 1.04    | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 320±4ms              | 312±9ms             | 0.97    | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 212±4ms              | 213±7ms             | 1.00    | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 348±4ms              | 339±6ms             | 0.97    | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.0±0.3μs           | 17.4±0.4μs          | 1.02    | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 228±3ms              | 230±6ms             | 1.01    | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 123±1ms              | 118±3ms             | 0.95    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 256±3ms              | 254±4ms             | 0.99    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 53.2±0.7μs           | 54.8±0.7μs          | 1.03    | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 320±2ms              | 323±10ms            | 1.01    | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 214±3ms              | 208±5ms             | 0.97    | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 342±1ms              | 337±7ms             | 0.98    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 55.1±0.6μs           | 55.9±0.8μs          | 1.01    | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 795±5μs              | 800±3μs             | 1.01    | import_iris.Iris.time__concatenate                                                          |
|          | 179±4μs              | 181±2μs             | 1.01    | import_iris.Iris.time__constraints                                                          |
|          | 109±0.6μs            | 110±0.9μs           | 1.01    | import_iris.Iris.time__data_manager                                                         |
|          | 91.5±7μs             | 91.8±0.6μs          | 1.00    | import_iris.Iris.time__deprecation                                                          |
|          | 136±1μs              | 138±1μs             | 1.01    | import_iris.Iris.time__lazy_data                                                            |
|          | 913±6μs              | 928±3μs             | 1.02    | import_iris.Iris.time__merge                                                                |
|          | 75.2±0.8μs           | 76.4±0.4μs          | 1.02    | import_iris.Iris.time__representation                                                       |
|          | 594±3μs              | 616±7μs             | 1.04    | import_iris.Iris.time_analysis                                                              |
|          | 140±0.8μs            | 141±2μs             | 1.01    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 108±0.8μs            | 109±2μs             | 1.01    | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 246±4μs              | 251±3μs             | 1.02    | import_iris.Iris.time_analysis__interpolation                                               |
|          | 189±2μs              | 190±3μs             | 1.00    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 110±1μs              | 110±0.6μs           | 1.00    | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 137±2μs              | 141±1μs             | 1.03    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 337±3μs              | 337±2μs             | 1.00    | import_iris.Iris.time_analysis_cartography                                                  |
|          | 93.2±0.7μs           | 94.7±0.7μs          | 1.02    | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 217±3μs              | 218±1μs             | 1.00    | import_iris.Iris.time_analysis_maths                                                        |
|          | 96.4±1μs             | 98.4±0.4μs          | 1.02    | import_iris.Iris.time_analysis_stats                                                        |
|          | 172±0.6μs            | 175±0.6μs           | 1.02    | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 304±3μs              | 311±7μs             | 1.02    | import_iris.Iris.time_aux_factory                                                           |
|          | 82.6±2μs             | 83.9±0.6μs          | 1.02    | import_iris.Iris.time_common                                                                |
|          | 161±1μs              | 163±1μs             | 1.01    | import_iris.Iris.time_common_lenient                                                        |
|          | 1.35±0.03ms          | 1.39±0.01ms         | 1.03    | import_iris.Iris.time_common_metadata                                                       |
|          | 163±1μs              | 164±0.8μs           | 1.01    | import_iris.Iris.time_common_mixin                                                          |
|          | 1.21±0.02ms          | 1.22±0.01ms         | 1.01    | import_iris.Iris.time_common_resolve                                                        |
|          | 198±0.6μs            | 199±2μs             | 1.01    | import_iris.Iris.time_config                                                                |
|          | 122±0.8μs            | 127±3μs             | 1.05    | import_iris.Iris.time_coord_categorisation                                                  |
|          | 369±8μs              | 370±7μs             | 1.00    | import_iris.Iris.time_coord_systems                                                         |
|          | 755±5μs              | 774±6μs             | 1.03    | import_iris.Iris.time_coords                                                                |
|          | 652±7μs              | 676±7μs             | 1.04    | import_iris.Iris.time_cube                                                                  |
|          | 219±1μs              | 226±3μs             | 1.03    | import_iris.Iris.time_exceptions                                                            |
|          | 76.5±1μs             | 76.1±0.4μs          | 0.99    | import_iris.Iris.time_experimental                                                          |
|          | 181±1μs              | 184±0.7μs           | 1.02    | import_iris.Iris.time_fileformats                                                           |
|          | 251±2μs              | 257±1μs             | 1.02    | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.65±0.01ms          | 2.67±0.03ms         | 1.01    | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 77.1±1μs             | 78.6±1μs            | 1.02    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 113±1μs              | 115±1μs             | 1.02    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 409±3μs              | 416±3μs             | 1.02    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.83±0.03ms          | 4.81±0.06ms         | 1.00    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 74.4±0.4μs           | 74.6±0.9μs          | 1.00    | import_iris.Iris.time_fileformats_name                                                      |
|          | 261±2μs              | 256±2μs             | 0.98    | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 118±2μs              | 121±1μs             | 1.03    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 123±2μs              | 123±0.4μs           | 1.00    | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 216±6μs              | 217±3μs             | 1.01    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 799±10μs             | 801±3μs             | 1.00    | import_iris.Iris.time_fileformats_pp                                                        |
|          | 182±1μs              | 193±3μs             | 1.06    | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 135±0.8μs            | 140±3μs             | 1.03    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 556±2μs              | 561±3μs             | 1.01    | import_iris.Iris.time_fileformats_rules                                                     |
|          | 220±4μs              | 222±2μs             | 1.01    | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 81.9±2μs             | 82.5±0.6μs          | 1.01    | import_iris.Iris.time_fileformats_um                                                        |
|          | 159±2μs              | 166±3μs             | 1.04    | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 138±1μs              | 138±2μs             | 1.00    | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 73.8±0.6μs           | 74.9±0.4μs          | 1.01    | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 79.1±1μs             | 80.3±7μs            | 1.02    | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 975±9μs              | 992±8μs             | 1.02    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 135±2μs              | 135±1μs             | 1.00    | import_iris.Iris.time_io                                                                    |
|          | 173±3μs              | 174±0.6μs           | 1.01    | import_iris.Iris.time_io_format_picker                                                      |
|          | 294±3μs              | 296±3μs             | 1.01    | import_iris.Iris.time_iris                                                                  |
|          | 125±2μs              | 127±0.7μs           | 1.01    | import_iris.Iris.time_iterate                                                               |
|          | 8.15±0.1ms           | 8.18±0.04ms         | 1.00    | import_iris.Iris.time_palette                                                               |
|          | 1.92±0.01ms          | 1.92±0.01ms         | 1.00    | import_iris.Iris.time_plot                                                                  |
|          | 104±1μs              | 104±0.6μs           | 1.00    | import_iris.Iris.time_quickplot                                                             |
|          | 2.21±0.01ms          | 2.22±0.04ms         | 1.01    | import_iris.Iris.time_std_names                                                             |
|          | 1.77±0.01ms          | 1.79±0.03ms         | 1.01    | import_iris.Iris.time_symbols                                                               |
|          | 33.8±0.5ms           | 33.3±0.4ms          | 0.98    | import_iris.Iris.time_tests                                                                 |
|          | 274±3μs              | 273±2μs             | 1.00    | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 4.97±0.03ms          | 4.97±0.04ms         | 1.00    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 125±0.7μs            | 126±0.9μs           | 1.01    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.94±0.01ms          | 2.96±0.02ms         | 1.01    | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.29±0.02ms          | 1.28±0ms            | 1.00    | import_iris.Iris.time_third_party_numpy                                                     |
|          | 180±5μs              | 183±2μs             | 1.02    | import_iris.Iris.time_third_party_scipy                                                     |
|          | 98.1±0.9μs           | 98.3±0.7μs          | 1.00    | import_iris.Iris.time_time                                                                  |
|          | 338±4μs              | 338±4μs             | 1.00    | import_iris.Iris.time_util                                                                  |
|          | 72.0±0.7μs           | 72.5±0.9μs          | 1.01    | iterate.IZip.time_izip                                                                      |
|          | 10.1±0.1ms           | 9.80±0.04ms         | 0.97    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 16.1±0.7ms           | 15.6±0.7ms          | 0.97    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.1±0.1ms           | 9.76±0.07ms         | 0.97    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 9.97±0.1ms           | 9.79±0.05ms         | 0.98    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.1±0.1ms           | 13.2±0.1ms          | 1.01    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 10.0±0.06ms          | 9.81±0.05ms         | 0.98    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.56±0.02s           | 1.53±0.02s          | 0.98    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 13.4±0.2ms           | 13.2±0.3ms          | 0.98    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.60±0.02s           | 1.54±0.01s          | 0.96    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.57±0.02s           | 1.52±0.01s          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 13.8±0.3ms           | 13.5±0.3ms          | 0.98    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.60±0.01s           | 1.54±0.02s          | 0.96    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.23±0.02ms          | 5.12±0.02ms         | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.9±0.2ms           | 11.7±0.2ms          | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.24±0.07ms          | 5.11±0.01ms         | 0.97    | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.24±0.05ms          | 5.08±0.05ms         | 0.97    | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.9±0.2ms           | 11.7±0.1ms          | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.18±0.03ms          | 5.08±0.05ms         | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 22.3±1ms             | 23.2±2ms            | 1.04    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 19.5±0.2ms           | 19.6±0.5ms          | 1.01    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 11.6±0.6ms           | 11.5±0.9ms          | 0.99    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 27.2±0.7ms           | 27.1±2ms            | 0.99    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 69.5±0.9ms           | 69.7±0.8ms          | 1.00    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 26.8±0.6ms           | 26.4±0.9ms          | 0.98    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 498±4ms              | 460±4ms             | 0.92    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 2.95±0.07ms          | 3.09±0.1ms          | 1.05    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 501±4ms              | 464±10ms            | 0.93    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 509±6ms              | 475±7ms             | 0.93    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.05±0.08ms          | 3.16±0.1ms          | 1.04    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 505±6ms              | 464±7ms             | 0.92    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 1.69±0.05ms          | 1.65±0.1ms          | 0.97    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.21±0.1ms           | 3.18±0.2ms          | 0.99    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 1.62±0.05ms          | 1.66±0.08ms         | 1.02    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 1.68±0.02ms          | 1.73±0.08ms         | 1.03    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 2.98±0.1ms           | 3.25±0.2ms          | 1.09    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 1.74±0.09ms          | 1.80±0.07ms         | 1.03    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 469±3ms              | 444±3ms             | 0.95    | load.ManyCubes.time_many_cube_load                                                          |
|          | 85.2±0.4ms           | 86.5±2ms            | 1.01    | load.ManyVars.time_many_var_load                                                            |
|          | 10.2±0.3ms           | 9.84±0.2ms          | 0.97    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.2±0.2ms           | 10.0±0.1ms          | 0.98    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.60±0.02s           | 1.52±0.01s          | 0.95    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.60±0.01s           | 1.56±0.03s          | 0.98    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.20±0.03ms          | 5.13±0.05ms         | 0.99    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.23±0.04ms          | 5.15±0.02ms         | 0.98    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.26±0.3ms           | 9.02±0.08ms         | 0.97    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 6.00±0.1ms           | 5.76±0.06ms         | 0.96    | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.55±0.03s           | 1.52±0.02s          | 0.98    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 565±7ms              | 516±8ms             | 0.91    | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.38±0.1ms           | 4.29±0.03ms         | 0.98    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.32±0.09ms          | 4.18±0.09ms         | 0.97    | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 174±5ms              | 170±2ms             | 0.97    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 15.0±0.4ms           | 15.5±0.3ms          | 1.03    | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 174±2ms              | 172±3ms             | 0.98    | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 33.4±0.2ms           | 32.8±0.2ms          | 0.98    | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 14.8±0.1ms           | 14.6±0.4ms          | 0.99    | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 33.6±0.6ms           | 33.3±0.2ms          | 0.99    | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 13.5±0.2ms           | 13.5±0.2ms          | 1.00    | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 49.3±0.9ms           | 46.4±0.4ms          | 0.94    | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 8.61±0.2ms           | 8.49±0.1ms          | 0.99    | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 17.7±0.3ms           | 16.9±0.3ms          | 0.95    | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 13.5±0.3ms           | 13.5±0.2ms          | 1.00    | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 16.2±0.2ms           | 16.0±0.3ms          | 0.98    | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 8.73±0.1ms           | 8.55±0.4ms          | 0.98    | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 11.9±0.5ms           | 11.3±0.1ms          | 0.95    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 14.7±0.3ms           | 14.5±0.3ms          | 0.99    | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 59.4±0.7ms           | 55.5±0.7ms          | 0.93    | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 14.3±0.2ms           | 14.4±0.2ms          | 1.01    | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 18.0±0.1ms           | 18.0±0.6ms          | 1.00    | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.06±0.2ms           | 2.98±0.2ms          | 0.97    | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 4.04±0.3ms           | 4.18±0.4ms          | 1.04    | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 36.5±2ms             | 37.9±3ms            | 1.04    | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 772±4ms              | 769±7ms             | 1.00    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 440±3ms              | 447±4ms             | 1.02    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 439±3ms              | 446±5ms             | 1.01    | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 109±0.5M             | 110±5M              | 1.01    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 109±0.5M             | 110±4M              | 1.01    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 51.1±0.3ms           | 49.1±1ms            | 0.96    | merge_concat.Merge.time_merge                                                               |
|          | 1.62±0.2M            | 1.23±0.06M          | ~0.76   | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 405±2ns              | 415±3ns             | 1.02    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 212±2ms              | 211±1ms             | 0.99    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 650±0.2k             | 707±0.3k            | 1.09    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60.1±0M              | 60.1±0M             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 17.6±0.2ms           | 16.5±0.1ms          | 0.94    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 20.3±0.4ms           | 19.8±0.4ms          | 0.97    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 699±50k              | 1.17±0M             | ~1.67   | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 107±1ms              | 110±1ms             | 1.03    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 600±2ms              | 599±4ms             | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.24±0.01M           | 1.29±0.03M          | 1.04    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.3±0.01M           | 96.3±0.03M          | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 68.1±0.7ms           | 67.4±0.7ms          | 0.99    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 551±3ms              | 546±4ms             | 0.99    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.17±0.01M           | 1.21±0.02M          | 1.03    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.2±0.01M           | 96.3±0.01M          | 1.00    | 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)                 |
|          | 6.57±0.05ms          | 6.57±0.03ms         | 1.00    | plot.AuxSort.time_aux_sort                                                                  |
|          | 77.4±4ms             | 78.5±4ms            | 1.01    | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              | 1.00    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 98.9±1ms             | 105±0.7ms           | 1.06    | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 50.3±0.7ms           | 47.7±0.9ms          | 0.95    | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 106±0.05M            | 107±0.07M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.02M            | 147±0.02M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.52±0.08ms          | 4.50±0.1ms          | 1.00    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 74.7±1ms             | 73.7±2ms            | 0.99    | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 42.6±0.6ms           | 42.2±0.8ms          | 0.99    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 487±5ms              | 481±3ms             | 0.99    | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 88.7±2ns             | 87.6±1ns            | 0.99    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 57.4±0.3ms           | 56.1±1ms            | 0.98    | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 87.2±1ns             | 88.1±0.6ns          | 1.01    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 427±5ms              | 423±3ms             | 0.99    | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 30.3±0.08k           | 29.1±0.1k           | 0.96    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.58±0.1M            | 1.61±0.2M           | 1.02    | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 30.3±0.08k           | 29.1±0.06k          | 0.96    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 207±20M              | 208±20M             | 1.00    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 41.2±0.8ms           | 38.9±0.3ms          | 0.94    | stats.PearsonR.time_lazy                                                                    |
|          | 9.03±0.3ms           | 9.25±0.2ms          | 1.02    | stats.PearsonR.time_real                                                                    |
|          | 18.4±0.01M           | 18.4±0.01M          | 1.00    | stats.PearsonR.tracemalloc_real                                                             |
|          | 20.8±0.2ms           | 20.0±0.5ms          | 0.96    | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 69.1±0.6ms           | 60.5±0.8ms          | 0.87    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 12.1±0.07M           | 7.74±0.07M          | ~0.64   | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Benchmarks that have got worse:

| Change   | Before [05221c44]    | After [0f833177]    |   Ratio | Benchmark (Parameter)                                                                     |
|----------|----------------------|---------------------|---------|-------------------------------------------------------------------------------------------|
| +        | 12.6±0.05M           | 24.9±0M             |    1.98 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500) |
| +        | 24.3±1M              | 29.4±0.3M           |    1.21 | stats.PearsonR.tracemalloc_lazy                                                           |

Generated by GHA run 13266906369

@valeriupredoi
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thanks for looking @trexfeathers - you guys know what's the hap with those three failed tests, or should I investigate the fails meself? 🍺

@valeriupredoi
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SOF suggests a -1 pickle protocol

@trexfeathers
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thanks for looking @trexfeathers - you guys know what's the hap with those three failed tests, or should I investigate the fails meself? 🍺

I know no more than you do on this one, so if you have time to investigate, it won't be a waste!

@valeriupredoi
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perfect, shall do! Pytest fails are my specialty, shoot them down like turkeys 🦃 😁

@valeriupredoi
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OK so the MRE for this bugger is this:

import pickle
import iris


def repro_failed_test():
    pth = "/home/valeriu/iris_fork/lib/iris/test_data/NetCDF/global/xyt/SMALL_hires_wind_u_for_ipcc4.nc"
    cube = iris.load(pth)[0]
    with open("./testpkl", "wb") as f:
        pickle.dump(cube, f, 1)


repro_failed_test()

obv that file is the same as tested for, from the iris test data repo. I shall now proceed to figuring out what package is causing this. joblib is a first candidate, but that's not been changed for years, Dask seems not affect it...gonna be hunting then

@valeriupredoi
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Yup! It is DASK at fault here:

  • MRE runs fine with dask==2024.8.2
  • MRE runs fine with dask==2024.9
  • MRE runs fine with dask==2024.10
  • MRE runs fine with dask==2024.11
  • MRE fails with dask==2024.12

'Twas a Christmas change that brought the bug down the chimney!

Full deps diff:

  - dask-core    2024.11.0  pyhd8ed1ab_0  conda-forge     Cached
  + dask-core    2024.12.0  pyhd8ed1ab_1  conda-forge     Cached
  - dask-expr       1.1.17  pyhd8ed1ab_0  conda-forge     Cached
  + dask-expr       1.1.20  pyhd8ed1ab_1  conda-forge     Cached
  - distributed  2024.11.0  pyhd8ed1ab_0  conda-forge     Cached
  + distributed  2024.12.0  pyhd8ed1ab_1  conda-forge     Cached
  - dask         2024.11.0  pyhd8ed1ab_0  conda-forge     Cached
  + dask         2024.12.0  pyhd8ed1ab_1  conda-forge     Cached

Now, there is a workaround for this if you guys want to adopt it - use only protocol=-1 in that test; but this is most defintely a bad bug plugged in Dask, or a feature that I'm not aware of 🍺

@trexfeathers
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See also: #6258

Sorry I didn't remember it before - it was pre-holiday! Anyway all I had done was write it up with no investigation, so no time wasted.

@valeriupredoi
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BTW same behaviour if using cloudpickle

But, here's the thing: using protocols 2 onward until and inclusive of maximum 5 all works well, am thinking 0 and 1 are veeerry old, maybe there's no need to use them at all?

@trexfeathers
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trexfeathers commented Feb 12, 2025

Had a conversation with @bjlittle and @pp-mo. We're comfortable altering the test to only test protocols 4 and upwards. The failures are happening on 0 and 1, which are much older, and given the security concerns around pickling it seems justifiable to gradually drop older protocols. 4 is the current default, so that seems like a good minimum. We should probably do something dynamic with PyTest parameters so that newer protocols are automatically tested as they are introduced.

We don't expect the above to be a breaking change, although it would be worth warning users about in a What's New entry.

Not sure how to solve this one final error:

test__interpret_field.py::Test__interpret_fields__land_packed_fields::test_landsea_unpacking_uses_dask: TypeError: 'Task' object is not subscriptable

Unpinning is scheduled for our upcoming Iris 3.12 work, so we're happy to take it from here if you want. But you're welcome to keep going if you prefer.

@valeriupredoi
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sounds very reasonable that way indeed! Honestly, I wouldn't know how to get the protocol value in a dynamical manner, but the Task issue, lemme have a looksee myself 🍺

@valeriupredoi
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ah that Task-related fail is pretty clear if we look at what mask_toplev_item was in eg dask==2024.10, and what it is now:

  • 2024.10
(subgraph_callable-dce30cf515a5b64b7a0c141c57317dd5, 'original-array-044d62255594b8807859b8631a2d07c3', (slice(0, 928, None), slice(0, 744, None))) ['__add__', '__class__', '__class_getitem__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmul__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'count', 'index']
  • 2024.12
<Task ('array-044d62255594b8807859b8631a2d07c3', 0, 0) getter(..., ...)> ['__annotations__', '__call__', '__class__', '__dask_tokenize__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__slots__', '__str__', '__subclasshook__', '_dependencies', '_get_token', '_is_coro', '_repr', '_token', '_verify_values', 'args', 'block_fusion', 'copy', 'dependencies', 'func', 'fuse', 'is_coro', 'key', 'kwargs', 'ref', 'substitute']

They changed massively the graphing in 2024.12 - see dask/dask#11569

The test shouldn't index what is now a Task, so I think that's also doable easily. Ah the joys of Dask making frequent massive backend and API changes, not very well tested, and letting everyone in the dust 😁

@valeriupredoi
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@trexfeathers @bjlittle how do you guys plan on proceeding from here? I can make the changes in the test - for pickling it's a straightforward case, but for the Task issue I am a bit afraid things will prob need changing in the actual stack rather only in the test file, given that Dask have completely overhauled the classes - that change I am afraid I am not knowledgeable enough of Iris' bellows to do it, at least not fast enough 🍺

@trexfeathers
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@trexfeathers @bjlittle how do you guys plan on proceeding from here?

We can take it from here. Thanks for all your work on this

@valeriupredoi
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@trexfeathers @bjlittle how do you guys plan on proceeding from here?

We can take it from here. Thanks for all your work on this

sounds good! Feel free to use this branch too if it's more convenient 🍻 Let me know how else I can help with ie testing etc

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⏱️ Performance Benchmark Report: 24780c0

Performance shifts
| Change   | Before [8f5cb025]    | After [24780c04]    |   Ratio | Benchmark (Parameter)                                                  |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------|
| -        | 37.1±0.6ms           | 29.5±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)         |
| -        | 38.5±0.5ms           | 30.6±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)          |
| -        | 37.3±0.3ms           | 29.9±0.4ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)         |
| -        | 38.8±0.7ms           | 30.8±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)          |
| -        | 479±20ms             | 352±7ms             |    0.73 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)    |
| -        | 483±20ms             | 370±7ms             |    0.77 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)     |
| -        | 36.3±0.7ms           | 28.6±0.5ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)    |
| -        | 37.4±0.4ms           | 29.5±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)     |
| -        | 25.1±0.6ms           | 17.8±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)          |
| -        | 29.6±0.2ms           | 21.5±0.4ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)           |
| -        | 22.9±0.4ms           | 15.7±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)          |
| -        | 27.8±0.3ms           | 19.6±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)           |
| -        | 23.2±0.6ms           | 15.5±0.2ms          |    0.66 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)          |
| -        | 27.3±0.6ms           | 19.3±0.3ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)           |
| -        | 23.6±0.5ms           | 16.2±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)            |
| -        | 28.0±0.2ms           | 20.1±0.3ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)             |
| -        | 36.5±0.5ms           | 29.5±0.7ms          |    0.81 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)        |
| -        | 40.4±0.6ms           | 33.4±0.7ms          |    0.82 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)         |
| -        | 24.2±0.4ms           | 16.5±0.2ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)           |
| -        | 29.0±0.5ms           | 20.2±0.5ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)            |
| -        | 26.5±0.5ms           | 18.6±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)         |
| -        | 31.1±0.4ms           | 22.6±0.1ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)          |
| -        | 23.7±0.4ms           | 16.4±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)            |
| -        | 28.5±0.5ms           | 20.0±0.2ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)             |
| -        | 23.0±0.5ms           | 15.4±0.2ms          |    0.67 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)     |
| -        | 27.4±0.6ms           | 19.1±0.4ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)      |
| -        | 26.4±0.4ms           | 18.1±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)            |
| -        | 30.3±0.4ms           | 22.0±0.3ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)             |
| -        | 25.5±0.3ms           | 17.9±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)        |
| -        | 29.5±0.3ms           | 21.9±0.5ms          |    0.74 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)         |
| -        | 25.4±0.5ms           | 17.3±0.2ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)       |
| -        | 29.3±0.3ms           | 21.4±0.5ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)        |
| -        | 29.8±0.4ms           | 22.5±0.8ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) |
| -        | 34.3±0.4ms           | 26.9±0.5ms          |    0.78 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)  |
| -        | 31.9±0.8ms           | 24.0±0.6ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)  |
| -        | 36.4±0.6ms           | 28.2±0.6ms          |    0.77 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)   |
| -        | 26.0±0.3ms           | 18.0±0.2ms          |    0.69 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)  |
| -        | 30.1±0.5ms           | 22.0±0.2ms          |    0.73 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)   |
| Change   | Before [8f5cb025]    | After [24780c04]    |   Ratio | Benchmark (Parameter)                                                                     |
|----------|----------------------|---------------------|---------|-------------------------------------------------------------------------------------------|
| +        | 12.6±0.05M           | 24.9±0M             |    1.98 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500) |
Full benchmark results

Benchmarks that have improved:

| Change   | Before [8f5cb025]    | After [24780c04]    |   Ratio | Benchmark (Parameter)                                                  |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------|
| -        | 37.1±0.6ms           | 29.5±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)         |
| -        | 38.5±0.5ms           | 30.6±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)          |
| -        | 37.3±0.3ms           | 29.9±0.4ms          |    0.8  | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)         |
| -        | 38.8±0.7ms           | 30.8±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)          |
| -        | 479±20ms             | 352±7ms             |    0.73 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)    |
| -        | 483±20ms             | 370±7ms             |    0.77 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)     |
| -        | 36.3±0.7ms           | 28.6±0.5ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)    |
| -        | 37.4±0.4ms           | 29.5±0.3ms          |    0.79 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)     |
| -        | 25.1±0.6ms           | 17.8±0.2ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)          |
| -        | 29.6±0.2ms           | 21.5±0.4ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)           |
| -        | 22.9±0.4ms           | 15.7±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)          |
| -        | 27.8±0.3ms           | 19.6±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)           |
| -        | 23.2±0.6ms           | 15.5±0.2ms          |    0.66 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)          |
| -        | 27.3±0.6ms           | 19.3±0.3ms          |    0.71 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)           |
| -        | 23.6±0.5ms           | 16.2±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)            |
| -        | 28.0±0.2ms           | 20.1±0.3ms          |    0.72 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)             |
| -        | 36.5±0.5ms           | 29.5±0.7ms          |    0.81 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)        |
| -        | 40.4±0.6ms           | 33.4±0.7ms          |    0.82 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)         |
| -        | 24.2±0.4ms           | 16.5±0.2ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)           |
| -        | 29.0±0.5ms           | 20.2±0.5ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)            |
| -        | 26.5±0.5ms           | 18.6±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)         |
| -        | 31.1±0.4ms           | 22.6±0.1ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)          |
| -        | 23.7±0.4ms           | 16.4±0.2ms          |    0.69 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)            |
| -        | 28.5±0.5ms           | 20.0±0.2ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)             |
| -        | 23.0±0.5ms           | 15.4±0.2ms          |    0.67 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)     |
| -        | 27.4±0.6ms           | 19.1±0.4ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)      |
| -        | 26.4±0.4ms           | 18.1±0.3ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)            |
| -        | 30.3±0.4ms           | 22.0±0.3ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)             |
| -        | 25.5±0.3ms           | 17.9±0.3ms          |    0.7  | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)        |
| -        | 29.5±0.3ms           | 21.9±0.5ms          |    0.74 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)         |
| -        | 25.4±0.5ms           | 17.3±0.2ms          |    0.68 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)       |
| -        | 29.3±0.3ms           | 21.4±0.5ms          |    0.73 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)        |
| -        | 29.8±0.4ms           | 22.5±0.8ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) |
| -        | 34.3±0.4ms           | 26.9±0.5ms          |    0.78 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)  |
| -        | 31.9±0.8ms           | 24.0±0.6ms          |    0.75 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)  |
| -        | 36.4±0.6ms           | 28.2±0.6ms          |    0.77 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)   |
| -        | 26.0±0.3ms           | 18.0±0.2ms          |    0.69 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)  |
| -        | 30.1±0.5ms           | 22.0±0.2ms          |    0.73 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)   |

Benchmarks that have stayed the same:

| Change   | Before [8f5cb025]    | After [24780c04]    | Ratio   | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 58.0±0.9ms           | 51.3±0.4ms          | 0.89    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 58.8±0.9ms           | 52.2±0.8ms          | 0.89    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 203±2ms              | 190±2ms             | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 204±2ms              | 189±3ms             | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 50.2±0.7ms           | 43.6±0.6ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 51.6±0.4ms           | 44.3±0.6ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 132±2ms              | 123±2ms             | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 133±1ms              | 123±1ms             | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 55.4±0.4ms           | 46.5±0.7ms          | 0.84    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 56.5±0.5ms           | 47.8±0.5ms          | 0.85    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 62.7±0.6ms           | 55.3±0.6ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 63.1±0.6ms           | 56.6±0.8ms          | 0.90    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 50.4±0.4ms           | 43.0±0.8ms          | 0.85    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 51.7±0.5ms           | 44.4±0.5ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.11±0.01s           | 1.07±0.01s          | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.11±0.01s           | 1.08±0.01s          | 0.97    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 65.8±0.5ms           | 57.9±0.6ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 67.1±0.7ms           | 58.7±0.7ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 69.5±0.8ms           | 60.4±0.7ms          | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 69.9±1ms             | 61.5±0.4ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 65.4±0.6ms           | 56.6±0.6ms          | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 65.4±1ms             | 57.6±0.5ms          | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 138±0.7ms            | 132±1ms             | 0.95    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 154±2ms              | 149±1ms             | 0.97    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 548±2ms              | 539±2ms             | 0.98    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 552±3ms              | 545±3ms             | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 154±1ms              | 140±2ms             | 0.91    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 171±2ms              | 158±2ms             | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 90.5±0.6ms           | 81.5±1ms            | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 91.2±0.7ms           | 81.3±0.7ms          | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 103±0.8ms            | 93.6±0.8ms          | 0.91    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 103±0.7ms            | 93.4±0.9ms          | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 61.3±0.7ms           | 54.2±0.8ms          | 0.88    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 62.3±1ms             | 55.2±0.6ms          | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 321±3ms              | 278±2ms             | 0.87    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 340±2ms              | 294±4ms             | 0.86    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.14±0.02ms          | 1.12±0.01ms         | 0.98    | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 405±6μs              | 395±4μs             | 0.97    | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 981±20μs             | 976±10μs            | 1.00    | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 584±20μs             | 582±7μs             | 1.00    | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 231±3ms              | 225±5ms             | 0.97    | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 124±2ms              | 119±1ms             | 0.96    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 256±2ms              | 252±2ms             | 0.98    | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 16.6±0.4μs           | 16.8±0.2μs          | 1.01    | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 325±4ms              | 316±3ms             | 0.97    | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 217±2ms              | 208±3ms             | 0.96    | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 349±3ms              | 337±2ms             | 0.97    | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 16.8±0.2μs           | 17.1±0.2μs          | 1.02    | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 232±3ms              | 227±2ms             | 0.98    | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 125±2ms              | 119±1ms             | 0.95    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 258±2ms              | 251±1ms             | 0.97    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 52.9±1μs             | 53.1±1μs            | 1.00    | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 322±2ms              | 313±3ms             | 0.97    | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 217±3ms              | 209±3ms             | 0.96    | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 345±3ms              | 340±3ms             | 0.99    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 55.4±1μs             | 54.7±0.7μs          | 0.99    | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 793±4μs              | 796±9μs             | 1.00    | import_iris.Iris.time__concatenate                                                          |
|          | 181±2μs              | 179±2μs             | 0.99    | import_iris.Iris.time__constraints                                                          |
|          | 109±0.8μs            | 108±0.7μs           | 0.99    | import_iris.Iris.time__data_manager                                                         |
|          | 92.3±0.6μs           | 92.3±0.8μs          | 1.00    | import_iris.Iris.time__deprecation                                                          |
|          | 137±1μs              | 141±2μs             | 1.03    | import_iris.Iris.time__lazy_data                                                            |
|          | 928±20μs             | 918±8μs             | 0.99    | import_iris.Iris.time__merge                                                                |
|          | 76.1±0.9μs           | 75.9±0.3μs          | 1.00    | import_iris.Iris.time__representation                                                       |
|          | 601±5μs              | 604±3μs             | 1.00    | import_iris.Iris.time_analysis                                                              |
|          | 140±2μs              | 140±0.6μs           | 1.00    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 109±0.9μs            | 111±2μs             | 1.02    | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 244±1μs              | 244±1μs             | 1.00    | import_iris.Iris.time_analysis__interpolation                                               |
|          | 190±2μs              | 188±0.9μs           | 0.99    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 111±1μs              | 111±0.9μs           | 1.00    | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 140±2μs              | 138±2μs             | 0.99    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 333±2μs              | 338±7μs             | 1.02    | import_iris.Iris.time_analysis_cartography                                                  |
|          | 95.2±0.4μs           | 94.0±0.5μs          | 0.99    | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 221±2μs              | 217±2μs             | 0.98    | import_iris.Iris.time_analysis_maths                                                        |
|          | 99.5±1μs             | 96.1±0.6μs          | 0.97    | import_iris.Iris.time_analysis_stats                                                        |
|          | 175±6μs              | 175±1μs             | 1.00    | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 308±5μs              | 307±2μs             | 1.00    | import_iris.Iris.time_aux_factory                                                           |
|          | 84.6±0.6μs           | 83.3±0.6μs          | 0.98    | import_iris.Iris.time_common                                                                |
|          | 162±6μs              | 160±2μs             | 0.99    | import_iris.Iris.time_common_lenient                                                        |
|          | 1.36±0.01ms          | 1.39±0.02ms         | 1.02    | import_iris.Iris.time_common_metadata                                                       |
|          | 165±1μs              | 165±5μs             | 1.00    | import_iris.Iris.time_common_mixin                                                          |
|          | 1.21±0.01ms          | 1.20±0.01ms         | 1.00    | import_iris.Iris.time_common_resolve                                                        |
|          | 199±2μs              | 208±6μs             | 1.05    | import_iris.Iris.time_config                                                                |
|          | 125±0.8μs            | 124±2μs             | 0.99    | import_iris.Iris.time_coord_categorisation                                                  |
|          | 367±3μs              | 372±5μs             | 1.01    | import_iris.Iris.time_coord_systems                                                         |
|          | 757±6μs              | 767±6μs             | 1.01    | import_iris.Iris.time_coords                                                                |
|          | 677±6μs              | 673±10μs            | 0.99    | import_iris.Iris.time_cube                                                                  |
|          | 222±2μs              | 222±0.6μs           | 1.00    | import_iris.Iris.time_exceptions                                                            |
|          | 76.6±0.6μs           | 75.6±0.6μs          | 0.99    | import_iris.Iris.time_experimental                                                          |
|          | 184±0.6μs            | 182±2μs             | 0.99    | import_iris.Iris.time_fileformats                                                           |
|          | 255±2μs              | 252±2μs             | 0.99    | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.70±0.03ms          | 2.69±0.02ms         | 1.00    | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 78.2±0.3μs           | 78.0±0.9μs          | 1.00    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 114±0.8μs            | 114±1μs             | 1.00    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 415±1μs              | 415±3μs             | 1.00    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.83±0.02ms          | 4.84±0.06ms         | 1.00    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 75.0±1μs             | 75.6±0.5μs          | 1.01    | import_iris.Iris.time_fileformats_name                                                      |
|          | 260±3μs              | 264±5μs             | 1.02    | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 118±0.9μs            | 119±2μs             | 1.00    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 122±1μs              | 122±1μs             | 1.00    | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 212±6μs              | 216±2μs             | 1.02    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 786±4μs              | 796±3μs             | 1.01    | import_iris.Iris.time_fileformats_pp                                                        |
|          | 184±2μs              | 187±8μs             | 1.01    | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 136±1μs              | 137±3μs             | 1.01    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 552±2μs              | 552±2μs             | 1.00    | import_iris.Iris.time_fileformats_rules                                                     |
|          | 218±4μs              | 219±2μs             | 1.00    | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 83.4±0.7μs           | 82.3±0.2μs          | 0.99    | import_iris.Iris.time_fileformats_um                                                        |
|          | 160±1μs              | 160±1μs             | 1.00    | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 138±0.5μs            | 137±0.8μs           | 0.99    | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 75.6±2μs             | 74.7±0.6μs          | 0.99    | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 81.5±2μs             | 80.8±0.8μs          | 0.99    | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 989±10μs             | 990±10μs            | 1.00    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 135±0.6μs            | 134±0.8μs           | 0.99    | import_iris.Iris.time_io                                                                    |
|          | 172±1μs              | 176±3μs             | 1.03    | import_iris.Iris.time_io_format_picker                                                      |
|          | 299±5μs              | 297±3μs             | 0.99    | import_iris.Iris.time_iris                                                                  |
|          | 128±2μs              | 126±1μs             | 0.99    | import_iris.Iris.time_iterate                                                               |
|          | 8.15±0.02ms          | 8.22±0.05ms         | 1.01    | import_iris.Iris.time_palette                                                               |
|          | 1.95±0.02ms          | 1.92±0.01ms         | 0.99    | import_iris.Iris.time_plot                                                                  |
|          | 103±0.9μs            | 105±0.8μs           | 1.02    | import_iris.Iris.time_quickplot                                                             |
|          | 2.17±0.03ms          | 2.25±0.02ms         | 1.04    | import_iris.Iris.time_std_names                                                             |
|          | 1.85±0.05ms          | 1.80±0.01ms         | 0.98    | import_iris.Iris.time_symbols                                                               |
|          | 84.9±0.8ms           | 85.4±0.5ms          | 1.01    | import_iris.Iris.time_tests                                                                 |
|          | 272±0.6μs            | 272±2μs             | 1.00    | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.00±0.02ms          | 4.95±0.04ms         | 0.99    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 125±1μs              | 124±1μs             | 0.99    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.97±0.03ms          | 2.93±0.01ms         | 0.99    | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.28±0.01ms          | 1.29±0.01ms         | 1.01    | import_iris.Iris.time_third_party_numpy                                                     |
|          | 179±0.7μs            | 179±2μs             | 1.00    | import_iris.Iris.time_third_party_scipy                                                     |
|          | 98.6±1μs             | 98.7±1μs            | 1.00    | import_iris.Iris.time_time                                                                  |
|          | 336±5μs              | 342±2μs             | 1.02    | import_iris.Iris.time_util                                                                  |
|          | 71.6±1μs             | 71.3±0.8μs          | 1.00    | iterate.IZip.time_izip                                                                      |
|          | 9.98±0.02ms          | 9.82±0.08ms         | 0.98    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 16.0±0.2ms           | 16.0±0.7ms          | 1.00    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.1±0.1ms           | 9.81±0.05ms         | 0.97    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 10.1±0.2ms           | 9.86±0.08ms         | 0.98    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.2±0.1ms           | 13.3±0.2ms          | 1.00    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 9.94±0.02ms          | 9.84±0.08ms         | 0.99    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.57±0.01s           | 1.53±0.01s          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 13.5±0.1ms           | 13.5±0.2ms          | 1.00    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.57±0.01s           | 1.54±0.01s          | 0.98    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.57±0.01s           | 1.52±0.02s          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 13.6±0.3ms           | 13.1±0.1ms          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.58±0.01s           | 1.53±0.02s          | 0.97    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.20±0.02ms          | 5.08±0.04ms         | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.8±0.1ms           | 11.9±0.1ms          | 1.00    | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.12±0.1ms           | 5.10±0.07ms         | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.15±0.02ms          | 5.10±0.1ms          | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.9±0.1ms           | 11.7±0.1ms          | 0.98    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.14±0.09ms          | 5.14±0.04ms         | 1.00    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 21.9±0.9ms           | 22.0±0.8ms          | 1.00    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 19.2±0.3ms           | 19.6±0.2ms          | 1.02    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 11.4±1ms             | 11.0±0.9ms          | 0.97    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 27.3±0.5ms           | 27.1±0.1ms          | 0.99    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 68.7±0.7ms           | 69.0±0.9ms          | 1.00    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 26.8±0.7ms           | 26.3±0.8ms          | 0.98    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 495±5ms              | 458±4ms             | 0.92    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 2.95±0.1ms           | 3.06±0.07ms         | 1.04    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 495±2ms              | 458±3ms             | 0.92    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 508±3ms              | 471±2ms             | 0.93    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.06±0.06ms          | 3.11±0.09ms         | 1.01    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 504±4ms              | 468±4ms             | 0.93    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 1.74±0.06ms          | 1.66±0.08ms         | 0.95    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 2.91±0.09ms          | 3.17±0.1ms          | 1.09    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 1.70±0.07ms          | 1.69±0.03ms         | 1.00    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 1.77±0.04ms          | 1.67±0.07ms         | 0.94    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.03±0.1ms           | 3.13±0.1ms          | 1.03    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 1.74±0.07ms          | 1.68±0.1ms          | 0.97    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 472±3ms              | 444±5ms             | 0.94    | load.ManyCubes.time_many_cube_load                                                          |
|          | 85.3±0.5ms           | 86.2±1ms            | 1.01    | load.ManyVars.time_many_var_load                                                            |
|          | 10.1±0.3ms           | 9.95±0.1ms          | 0.99    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.3±0.04ms          | 10.0±0.08ms         | 0.98    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.58±0.01s           | 1.54±0.02s          | 0.97    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.60±0.01s           | 1.55±0.02s          | 0.97    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.27±0.04ms          | 5.15±0.1ms          | 0.98    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.17±0.1ms           | 5.07±0.06ms         | 0.98    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.27±0.07ms          | 8.99±0.1ms          | 0.97    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 6.15±0.07ms          | 5.82±0.05ms         | 0.95    | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.58±0.01s           | 1.51±0.02s          | 0.95    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 568±3ms              | 503±5ms             | 0.89    | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.41±0.03ms          | 4.30±0.04ms         | 0.97    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.30±0.04ms          | 4.19±0.04ms         | 0.97    | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 174±0.9ms            | 168±0.9ms           | 0.97    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 15.0±0.05ms          | 15.1±0.1ms          | 1.01    | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 174±1ms              | 171±2ms             | 0.98    | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 33.3±0.4ms           | 32.8±0.2ms          | 0.98    | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 15.1±0.2ms           | 14.7±0.2ms          | 0.97    | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 34.2±0.3ms           | 32.7±0.1ms          | 0.95    | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 13.3±0.4ms           | 13.4±0.2ms          | 1.01    | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 49.5±0.4ms           | 46.9±1ms            | 0.95    | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 8.78±0.2ms           | 8.73±0.2ms          | 0.99    | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 17.6±0.4ms           | 16.9±0.4ms          | 0.96    | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 13.6±0.2ms           | 13.4±0.2ms          | 0.99    | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 17.0±0.3ms           | 16.2±0.3ms          | 0.95    | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 8.70±0.3ms           | 8.61±0.2ms          | 0.99    | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 11.8±0.2ms           | 11.4±0.3ms          | 0.96    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 14.6±0.2ms           | 14.6±0.2ms          | 1.00    | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 61.2±0.5ms           | 56.5±0.3ms          | 0.92    | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 14.9±0.4ms           | 14.6±0.3ms          | 0.98    | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 18.7±0.3ms           | 17.9±0.3ms          | 0.96    | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.05±0.1ms           | 3.21±0.2ms          | 1.06    | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 4.21±0.08ms          | 4.33±0.06ms         | 1.03    | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 38.4±2ms             | 37.9±1ms            | 0.99    | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 788±6ms              | 772±6ms             | 0.98    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 439±4ms              | 447±4ms             | 1.02    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 436±3ms              | 444±3ms             | 1.02    | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 109±0.5M             | 110±0.7M            | 1.01    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 109±0.5M             | 110±0.7M            | 1.01    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 50.6±1ms             | 49.5±0.4ms          | 0.98    | merge_concat.Merge.time_merge                                                               |
|          | 1.62±0.2M            | 1.23±0.06M          | ~0.76   | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 402±1ns              | 406±3ns             | 1.01    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 212±1ms              | 212±9ms             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 650±0.1k             | 707±0.3k            | 1.09    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60±0M                | 60.1±0M             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 17.6±0.2ms           | 16.4±0.2ms          | 0.93    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 19.9±0.3ms           | 19.8±0.2ms          | 1.00    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 698±50k              | 1.17±0M             | ~1.68   | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 106±2ms              | 107±0.8ms           | 1.01    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 601±4ms              | 604±6ms             | 1.01    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.24±0.01M           | 1.3±0.05M           | 1.04    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.3±0.01M           | 96.4±0.02M          | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 69.2±1ms             | 67.6±1ms            | 0.98    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 553±4ms              | 554±6ms             | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.16±0.01M           | 1.21±0.02M          | 1.04    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.2±0.01M           | 96.2±0.02M          | 1.00    | 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)                 |
|          | 6.67±0.09ms          | 6.66±0.05ms         | 1.00    | plot.AuxSort.time_aux_sort                                                                  |
|          | 76.2±4ms             | 81.0±2ms            | 1.06    | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              | 1.00    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 99.9±1ms             | 106±0.6ms           | 1.06    | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 49.9±3ms             | 48.9±1ms            | 0.98    | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 106±0.04M            | 107±0.04M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.02M            | 147±0.02M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.53±0.04ms          | 4.62±0.03ms         | 1.02    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 75.6±0.7ms           | 73.8±0.8ms          | 0.98    | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 42.1±0.6ms           | 42.7±0.9ms          | 1.02    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 483±6ms              | 483±3ms             | 1.00    | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 87.7±1ns             | 88.8±0.5ns          | 1.01    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 57.0±0.5ms           | 57.4±0.5ms          | 1.01    | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 88.5±10ns            | 87.7±0.6ns          | 0.99    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 424±2ms              | 426±2ms             | 1.00    | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 30.3±0.08k           | 29.1±0.09k          | 0.96    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.73±0.06M           | 1.7±0.1M            | 0.98    | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 30.3±0.06k           | 29.1±0.1k           | 0.96    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 225±10M              | 225±20M             | 1.00    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 41.5±0.6ms           | 39.2±0.6ms          | 0.94    | stats.PearsonR.time_lazy                                                                    |
|          | 9.03±0.2ms           | 9.31±0.2ms          | 1.03    | stats.PearsonR.time_real                                                                    |
|          | 24.7±1M              | 29.4±0.1M           | 1.19    | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.4±0.01M           | 18.4±0.01M          | 1.00    | stats.PearsonR.tracemalloc_real                                                             |
|          | 20.5±0.2ms           | 20.3±0.3ms          | 0.99    | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 68.6±0.7ms           | 61.1±0.7ms          | 0.89    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 12.1±0.07M           | 7.74±0.07M          | ~0.64   | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Benchmarks that have got worse:

| Change   | Before [8f5cb025]    | After [24780c04]    |   Ratio | Benchmark (Parameter)                                                                     |
|----------|----------------------|---------------------|---------|-------------------------------------------------------------------------------------------|
| +        | 12.6±0.05M           | 24.9±0M             |    1.98 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500) |

Generated by GHA run 13307980495

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Unpin dask when slicing bug is fixed
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