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Added benchmarks for collapse and aggregate #5954

Merged
merged 9 commits into from
May 16, 2024
Merged

Added benchmarks for collapse and aggregate #5954

merged 9 commits into from
May 16, 2024

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

@ESadek-MO ESadek-MO added the benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts label May 15, 2024
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codecov bot commented May 15, 2024 •
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 89.78%. Comparing base (3b6fa28) to head (b564e7f).

❗ Current head b564e7f differs from pull request most recent head 2886e03. Consider uploading reports for the commit 2886e03 to get more accurate results

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trexfeathers
trexfeathers requested changes May 15, 2024
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Some comments to keep you going. I may have more

lib/iris/cube.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
trexfeathers
trexfeathers requested changes May 15, 2024
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OK here are the rest of the comments.

I can confirm that this covers the full list of Aggregators in iris.analysis, and I agree with the way they are being called.

benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Outdated Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Show resolved Hide resolved
benchmarks/benchmarks/aggregate_collapse.py Show resolved Hide resolved
@trexfeathers trexfeathers added benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts and removed benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts labels May 16, 2024
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⏱️ Performance Benchmark Report: 4570c79

Performance shifts
Full benchmark results 

Benchmarks that have stayed the same:

| Change   | Before [95b7ffe5]    | After [4570c793]    |   Ratio | Benchmark (Parameter)                                                                                |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------------------------------------|
|          | 54.0±0.5ms           | 55.1±0.8ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                                       |
|          | 55.0±0.7ms           | 55.6±0.7ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                                        |
|          | 191±2ms              | 193±2ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                             |
|          | 192±4ms              | 192±3ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                              |
|          | 36.9±0.5ms           | 37.4±0.7ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                                       |
|          | 37.7±0.4ms           | 38.3±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                                        |
|          | 36.8±0.4ms           | 37.1±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                                       |
|          | 37.3±0.5ms           | 38.3±0.5ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                                        |
|          | 46.7±0.3ms           | 47.7±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                         |
|          | 48.6±2ms             | 48.5±0.7ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                          |
|          | 119±2ms              | 121±2ms             |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                                     |
|          | 121±2ms              | 123±1ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                                      |
|          | 52.0±1ms             | 51.8±0.9ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                                        |
|          | 52.5±0.4ms           | 52.6±0.7ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                         |
|          | 37.5±0.7ms           | 38.0±0.8ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                                      |
|          | 38.6±1ms             | 38.4±0.8ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                                       |
|          | 47.8±0.7ms           | 47.3±1ms            |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                         |
|          | 48.2±0.9ms           | 48.8±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                          |
|          | 1.32±0.01s           | 1.33±0.01s          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                                        |
|          | 1.32±0.01s           | 1.33±0.01s          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                         |
|          | 701±10ms             | 703±7ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                                  |
|          | 703±10ms             | 701±10ms            |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                                   |
|          | 35.7±0.6ms           | 36.1±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                                  |
|          | 36.3±0.5ms           | 36.6±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                                   |
|          | 61.6±0.5ms           | 62.5±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                         |
|          | 62.6±1ms             | 63.2±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                          |
|          | 67.3±1ms             | 67.8±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                                     |
|          | 67.4±0.7ms           | 67.8±0.8ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                                      |
|          | 61.9±0.6ms           | 63.3±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                                    |
|          | 63.3±1ms             | 62.9±0.9ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                                     |
|          | 20.2±0.6ms           | 20.4±0.8ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                                        |
|          | 23.7±0.4ms           | 24.5±0.5ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                         |
|          | 130±2ms              | 136±4ms             |    1.05 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                              |
|          | 144±3ms              | 147±2ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                               |
|          | 18.8±0.6ms           | 19.1±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                                        |
|          | 22.0±0.3ms           | 23.1±0.3ms          |    1.05 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                         |
|          | 18.5±0.4ms           | 19.1±0.6ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                                        |
|          | 22.4±0.6ms           | 22.5±0.9ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                         |
|          | 19.3±0.7ms           | 19.4±0.7ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                          |
|          | 22.6±0.5ms           | 23.1±0.8ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                           |
|          | 34.9±0.4ms           | 35.0±0.5ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                                      |
|          | 38.3±2ms             | 38.8±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                                       |
|          | 19.4±1ms             | 19.7±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                         |
|          | 23.4±0.9ms           | 23.6±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                          |
|          | 19.6±0.4ms           | 19.5±0.4ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                                       |
|          | 23.0±0.9ms           | 23.5±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                                        |
|          | 19.5±0.4ms           | 19.1±0.9ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                          |
|          | 22.8±0.5ms           | 23.2±0.7ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                           |
|          | 553±5ms              | 560±5ms             |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                         |
|          | 556±3ms              | 556±4ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                          |
|          | 150±2ms              | 153±3ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                                   |
|          | 166±2ms              | 169±2ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                                    |
|          | 18.3±0.7ms           | 19.0±0.6ms          |    1.04 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                                   |
|          | 22.2±0.9ms           | 22.7±0.8ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                                    |
|          | 21.7±0.8ms           | 21.9±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                          |
|          | 25.8±0.5ms           | 25.6±0.8ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                           |
|          | 22.6±0.9ms           | 22.4±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                                      |
|          | 25.9±0.5ms           | 25.5±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                                       |
|          | 21.6±0.6ms           | 21.3±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                                     |
|          | 24.8±0.4ms           | 25.5±0.6ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                                      |
|          | 84.3±0.8ms           | 84.9±1ms            |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                              |
|          | 84.9±1ms             | 86.5±1ms            |    1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                               |
|          | 94.7±0.7ms           | 96.9±1ms            |    1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                               |
|          | 95.8±0.9ms           | 96.9±0.8ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                                |
|          | 57.8±1ms             | 58.6±0.6ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                               |
|          | 58.0±0.8ms           | 58.4±0.7ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                                |
|          | 29.5±0.4ms           | 30.0±0.4ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                               |
|          | 33.6±0.5ms           | 34.0±0.9ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                                |
|          | 31.5±0.7ms           | 31.1±0.9ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                                |
|          | 35.2±0.5ms           | 35.0±0.5ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                                 |
|          | 26.2±0.3ms           | 25.8±0.4ms          |    0.98 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                                |
|          | 29.6±0.4ms           | 30.0±0.3ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                                 |
|          | 320±2ms              | 323±2ms             |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)                        |
|          | 345±5ms              | 348±3ms             |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                         |
|          | 1.14±0.01ms          | 1.13±0.03ms         |    0.99 | cube.CubeCreation.time_create(False, 'construct')                                                    |
|          | 406±7μs              | 403±4μs             |    0.99 | cube.CubeCreation.time_create(False, 'instantiate')                                                  |
|          | 964±10μs             | 957±7μs             |    0.99 | cube.CubeCreation.time_create(True, 'construct')                                                     |
|          | 574±9μs              | 580±9μs             |    1.01 | cube.CubeCreation.time_create(True, 'instantiate')                                                   |
|          | 226±2ms              | 228±4ms             |    1.01 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                           |
|          | 113±1ms              | 112±0.4ms           |    1    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                                    |
|          | 238±3ms              | 237±4ms             |    1    | cube.CubeEquality.time_equality(False, False, 'data_inequality')                                     |
|          | 16.8±0.2μs           | 16.6±0.2μs          |    0.99 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                                 |
|          | 304±4ms              | 310±4ms             |    1.02 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                            |
|          | 197±1ms              | 204±2ms             |    1.04 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                                     |
|          | 316±4ms              | 325±5ms             |    1.03 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                                      |
|          | 17.0±0.1μs           | 16.7±0.2μs          |    0.99 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                                  |
|          | 226±3ms              | 226±3ms             |    1    | cube.CubeEquality.time_equality(True, False, 'all_equal')                                            |
|          | 111±1ms              | 112±1ms             |    1.01 | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                                     |
|          | 234±3ms              | 237±4ms             |    1.01 | cube.CubeEquality.time_equality(True, False, 'data_inequality')                                      |
|          | 53.6±0.6μs           | 54.8±0.8μs          |    1.02 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                                  |
|          | 312±4ms              | 309±3ms             |    0.99 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                             |
|          | 199±4ms              | 196±2ms             |    0.99 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                                      |
|          | 321±5ms              | 320±6ms             |    1    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                                       |
|          | 54.6±0.4μs           | 55.3±0.8μs          |    1.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                                   |
|          | 393±2ns              | 419±9ns             |    1.07 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)               |
|          | 259±3ms              | 259±1ms             |    1    | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)              |
|          | 14.5±0.1ms           | 14.7±0.1ms          |    1.01 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)            |
|          | 16.6±0.4ms           | 16.8±0.4ms          |    1.01 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)           |
|          | 5.0                  | 5.0                 |    1    | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(50)  |
|          | 5.0                  | 5.0                 |    1    | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(500) |
|          | 106±2ms              | 107±2ms             |    1.01 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)          |
|          | 709±5ms              | 723±7ms             |    1.02 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)         |
|          | 65.7±0.7ms           | 66.9±0.6ms          |    1.02 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(50)                              |
|          | 666±6ms              | 669±3ms             |    1.01 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(500)                             |
|          | 2.1752849999999997   | 2.1752849999999997  |    1    | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(50)                   |
|          | 216.01528499999998   | 216.01528499999998  |    1    | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(500)                  |
|          | 675±8μs              | 668±10μs            |    0.99 | import_iris.Iris.time__concatenate                                                                   |
|          | 185±2μs              | 180±2μs             |    0.98 | import_iris.Iris.time__constraints                                                                   |
|          | 112±0.9μs            | 110±2μs             |    0.99 | import_iris.Iris.time__data_manager                                                                  |
|          | 94.0±1μs             | 94.5±0.7μs          |    1    | import_iris.Iris.time__deprecation                                                                   |
|          | 136±0.6μs            | 136±1μs             |    1    | import_iris.Iris.time__lazy_data                                                                     |
|          | 901±4μs              | 897±4μs             |    0.99 | import_iris.Iris.time__merge                                                                         |
|          | 78.2±1μs             | 77.8±0.7μs          |    1    | import_iris.Iris.time__representation                                                                |
|          | 480±4μs              | 481±4μs             |    1    | import_iris.Iris.time_analysis                                                                       |
|          | 140±0.9μs            | 142±2μs             |    1.01 | import_iris.Iris.time_analysis__area_weighted                                                        |
|          | 109±1μs              | 109±1μs             |    1    | import_iris.Iris.time_analysis__grid_angles                                                          |
|          | 243±2μs              | 244±3μs             |    1    | import_iris.Iris.time_analysis__interpolation                                                        |
|          | 186±2μs              | 187±1μs             |    1    | import_iris.Iris.time_analysis__regrid                                                               |
|          | 113±1μs              | 112±1μs             |    0.99 | import_iris.Iris.time_analysis__scipy_interpolate                                                    |
|          | 141±2μs              | 140±2μs             |    0.99 | import_iris.Iris.time_analysis_calculus                                                              |
|          | 330±5μs              | 331±3μs             |    1    | import_iris.Iris.time_analysis_cartography                                                           |
|          | 95.6±1μs             | 95.4±0.7μs          |    1    | import_iris.Iris.time_analysis_geomerty                                                              |
|          | 218±3μs              | 219±3μs             |    1    | import_iris.Iris.time_analysis_maths                                                                 |
|          | 98.7±0.4μs           | 99.0±0.5μs          |    1    | import_iris.Iris.time_analysis_stats                                                                 |
|          | 176±1μs              | 176±2μs             |    1    | import_iris.Iris.time_analysis_trajectory                                                            |
|          | 305±4μs              | 306±6μs             |    1    | import_iris.Iris.time_aux_factory                                                                    |
|          | 84.6±0.5μs           | 84.9±0.3μs          |    1    | import_iris.Iris.time_common                                                                         |
|          | 163±1μs              | 163±0.9μs           |    1    | import_iris.Iris.time_common_lenient                                                                 |
|          | 974±7μs              | 977±10μs            |    1    | import_iris.Iris.time_common_metadata                                                                |
|          | 134±3μs              | 134±2μs             |    1    | import_iris.Iris.time_common_mixin                                                                   |
|          | 1.18±0.01ms          | 1.17±0.01ms         |    0.99 | import_iris.Iris.time_common_resolve                                                                 |
|          | 204±3μs              | 201±1μs             |    0.99 | import_iris.Iris.time_config                                                                         |
|          | 115±0.7μs            | 116±0.5μs           |    1    | import_iris.Iris.time_coord_categorisation                                                           |
|          | 360±5μs              | 358±5μs             |    0.99 | import_iris.Iris.time_coord_systems                                                                  |
|          | 740±5μs              | 739±2μs             |    1    | import_iris.Iris.time_coords                                                                         |
|          | 667±7μs              | 661±3μs             |    0.99 | import_iris.Iris.time_cube                                                                           |
|          | 226±7μs              | 225±4μs             |    1    | import_iris.Iris.time_exceptions                                                                     |
|          | 78.3±0.3μs           | 78.4±0.6μs          |    1    | import_iris.Iris.time_experimental                                                                   |
|          | 189±1μs              | 189±1μs             |    1    | import_iris.Iris.time_fileformats                                                                    |
|          | 251±1μs              | 252±2μs             |    1    | import_iris.Iris.time_fileformats__ff                                                                |
|          | 2.70±0ms             | 2.69±0.01ms         |    0.99 | import_iris.Iris.time_fileformats__ff_cross_references                                               |
|          | 79.4±1μs             | 79.9±0.3μs          |    1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                                   |
|          | 116±0.4μs            | 116±0.5μs           |    1    | import_iris.Iris.time_fileformats_abf                                                                |
|          | 355±5μs              | 351±4μs             |    0.99 | import_iris.Iris.time_fileformats_cf                                                                 |
|          | 5.43±0.05ms          | 5.39±0.07ms         |    0.99 | import_iris.Iris.time_fileformats_dot                                                                |
|          | 77.4±0.7μs           | 75.8±0.2μs          |    0.98 | import_iris.Iris.time_fileformats_name                                                               |
|          | 263±4μs              | 260±3μs             |    0.99 | import_iris.Iris.time_fileformats_name_loaders                                                       |
|          | 120±1μs              | 119±1μs             |    1    | import_iris.Iris.time_fileformats_netcdf                                                             |
|          | 123±2μs              | 124±1μs             |    1.01 | import_iris.Iris.time_fileformats_nimrod                                                             |
|          | 208±3μs              | 209±3μs             |    1.01 | import_iris.Iris.time_fileformats_nimrod_load_rules                                                  |
|          | 782±7μs              | 780±7μs             |    1    | import_iris.Iris.time_fileformats_pp                                                                 |
|          | 183±2μs              | 181±2μs             |    0.99 | import_iris.Iris.time_fileformats_pp_load_rules                                                      |
|          | 134±2μs              | 135±0.9μs           |    1.01 | import_iris.Iris.time_fileformats_pp_save_rules                                                      |
|          | 515±3μs              | 517±2μs             |    1    | import_iris.Iris.time_fileformats_rules                                                              |
|          | 223±3μs              | 219±2μs             |    0.98 | import_iris.Iris.time_fileformats_structured_array_identification                                    |
|          | 84.5±0.8μs           | 85.1±0.6μs          |    1.01 | import_iris.Iris.time_fileformats_um                                                                 |
|          | 162±2μs              | 162±2μs             |    1    | import_iris.Iris.time_fileformats_um__fast_load                                                      |
|          | 137±0.8μs            | 138±1μs             |    1.01 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                                    |
|          | 76.6±0.7μs           | 77.0±0.4μs          |    1.01 | import_iris.Iris.time_fileformats_um__ff_replacement                                                 |
|          | 82.5±0.5μs           | 83.9±0.6μs          |    1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                                      |
|          | 982±3μs              | 993±7μs             |    1.01 | import_iris.Iris.time_fileformats_um_cf_map                                                          |
|          | 138±1μs              | 138±1μs             |    1    | import_iris.Iris.time_io                                                                             |
|          | 174±1μs              | 172±1μs             |    0.99 | import_iris.Iris.time_io_format_picker                                                               |
|          | 205±4μs              | 206±2μs             |    1    | import_iris.Iris.time_iris                                                                           |
|          | 129±2μs              | 128±1μs             |    0.99 | import_iris.Iris.time_iterate                                                                        |
|          | 8.52±0.06ms          | 8.54±0.02ms         |    1    | import_iris.Iris.time_palette                                                                        |
|          | 338±3μs              | 338±4μs             |    1    | import_iris.Iris.time_plot                                                                           |
|          | 103±0.6μs            | 104±0.9μs           |    1    | import_iris.Iris.time_quickplot                                                                      |
|          | 2.13±0.01ms          | 2.14±0.01ms         |    1    | import_iris.Iris.time_std_names                                                                      |
|          | 1.78±0ms             | 1.77±0.01ms         |    1    | import_iris.Iris.time_symbols                                                                        |
|          | 22.1±0.7ms           | 21.6±0.5ms          |    0.98 | import_iris.Iris.time_tests                                                                          |
|          | 230±4μs              | 230±2μs             |    1    | import_iris.Iris.time_third_party_cartopy                                                            |
|          | 4.81±0.01ms          | 4.83±0.04ms         |    1    | import_iris.Iris.time_third_party_cf_units                                                           |
|          | 108±0.7μs            | 108±0.4μs           |    0.99 | import_iris.Iris.time_third_party_cftime                                                             |
|          | 2.82±0.02ms          | 2.81±0.2ms          |    1    | import_iris.Iris.time_third_party_matplotlib                                                         |
|          | 1.06±0.01ms          | 1.06±0.01ms         |    1    | import_iris.Iris.time_third_party_numpy                                                              |
|          | 162±1μs              | 160±1μs             |    0.99 | import_iris.Iris.time_third_party_scipy                                                              |
|          | 101±0.3μs            | 100±1μs             |    0.99 | import_iris.Iris.time_time                                                                           |
|          | 321±2μs              | 324±5μs             |    1.01 | import_iris.Iris.time_util                                                                           |
|          | 74.0±0.9μs           | 73.8±1μs            |    1    | iterate.IZip.time_izip                                                                               |
|          | 8.16±0.1ms           | 8.10±0.2ms          |    0.99 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                           |
|          | 23.7±0.3ms           | 24.3±0.5ms          |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                                       |
|          | 8.95±0.06ms          | 8.93±0.1ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                           |
|          | 8.11±0.04ms          | 8.23±0.07ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                            |
|          | 21.1±0.4ms           | 21.1±0.9ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                                        |
|          | 8.88±0.06ms          | 9.05±0.09ms         |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                            |
|          | 1.35±0.01s           | 1.38±0.01s          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                             |
|          | 21.0±0.4ms           | 21.3±0.4ms          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                         |
|          | 1.51±0.01s           | 1.52±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                             |
|          | 1.36±0.01s           | 1.37±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                              |
|          | 20.9±0.3ms           | 20.7±0.5ms          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                          |
|          | 1.52±0.01s           | 1.54±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                              |
|          | 3.96±0.05ms          | 3.95±0.02ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                              |
|          | 19.7±0.2ms           | 20.4±0.4ms          |    1.03 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                          |
|          | 4.23±0.02ms          | 4.25±0.03ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                              |
|          | 3.95±0.03ms          | 4.02±0.09ms         |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                               |
|          | 20.0±0.4ms           | 20.4±0.5ms          |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                           |
|          | 4.21±0.04ms          | 4.25±0.03ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                               |
|          | 32.9±3ms             | 32.8±2ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                                        |
|          | 19.6±0.5ms           | 19.7±0.5ms          |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                                    |
|          | 13.7±2ms             | 14.0±3ms            |    1.02 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                                        |
|          | 25.8±0.6ms           | 25.8±2ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                         |
|          | 70.8±2ms             | 71.0±2ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                                     |
|          | 25.9±1ms             | 26.0±2ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                         |
|          | 448±6ms              | 449±5ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                          |
|          | 2.91±0.08ms          | 3.07±0.2ms          |    1.05 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                                      |
|          | 453±7ms              | 460±4ms             |    1.02 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                          |
|          | 455±6ms              | 454±5ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                           |
|          | 2.99±0.1ms           | 3.13±0.1ms          |    1.05 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                                       |
|          | 455±8ms              | 461±4ms             |    1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                           |
|          | 1.52±0.09ms          | 1.59±0.08ms         |    1.05 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                           |
|          | 2.87±0.2ms           | 2.95±0.1ms          |    1.03 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                                       |
|          | 1.57±0.03ms          | 1.59±0.04ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                           |
|          | 1.58±0.07ms          | 1.59±0.05ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                            |
|          | 3.14±0.1ms           | 3.01±0.1ms          |    0.96 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                                        |
|          | 1.60±0.06ms          | 1.61±0.06ms         |    1    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                            |
|          | 354±3ms              | 361±2ms             |    1.02 | load.ManyVars.time_many_var_load                                                                     |
|          | 8.28±0.1ms           | 8.39±0.07ms         |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                                     |
|          | 9.06±0.06ms          | 9.12±0.05ms         |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                                     |
|          | 1.36±0.02s           | 1.41±0.01s          |    1.03 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                                       |
|          | 1.54±0.01s           | 1.55±0.02s          |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                                       |
|          | 4.00±0.04ms          | 4.03±0.06ms         |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                          |
|          | 4.26±0.03ms          | 4.26±0.05ms         |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                          |
|          | 8.16±0.1ms           | 8.19±0.06ms         |    1    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                                        |
|          | 4.79±0.03ms          | 4.83±0.07ms         |    1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                         |
|          | 1.36±0.02s           | 1.37±0.01s          |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                          |
|          | 375±6ms              | 377±2ms             |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                           |
|          | 3.94±0.02ms          | 3.94±0.04ms         |    1    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                             |
|          | 3.58±0.04ms          | 3.61±0.06ms         |    1.01 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                              |
|          | 151±1ms              | 152±2ms             |    1    | load.TimeConstraint.time_time_constraint(20, 'FF')                                                   |
|          | 23.5±0.3ms           | 23.8±0.3ms          |    1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                               |
|          | 165±0.7ms            | 167±3ms             |    1.01 | load.TimeConstraint.time_time_constraint(20, 'PP')                                                   |
|          | 29.6±0.2ms           | 29.9±0.5ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'FF')                                                    |
|          | 22.9±0.1ms           | 23.4±0.3ms          |    1.02 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                                |
|          | 32.1±0.1ms           | 32.1±0.2ms          |    1    | load.TimeConstraint.time_time_constraint(3, 'PP')                                                    |
|          | 17.8±0.4ms           | 17.9±0.7ms          |    1.01 | load.ugrid.BasicLoading.time_load_file(1)                                                            |
|          | 42.4±1ms             | 41.7±0.4ms          |    0.98 | load.ugrid.BasicLoading.time_load_file(200000)                                                       |
|          | 14.9±0.4ms           | 14.9±0.4ms          |    1    | load.ugrid.BasicLoading.time_load_mesh(1)                                                            |
|          | 23.4±0.9ms           | 22.5±0.5ms          |    0.96 | load.ugrid.BasicLoading.time_load_mesh(200000)                                                       |
|          | 17.8±0.5ms           | 17.9±0.4ms          |    1.01 | load.ugrid.BasicLoadingTime.time_load_file(1)                                                        |
|          | 21.1±0.8ms           | 20.6±0.3ms          |    0.98 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                                   |
|          | 14.5±0.3ms           | 14.5±0.2ms          |    1    | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                                        |
|          | 17.3±0.6ms           | 17.1±0.5ms          |    0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                                   |
|          | 18.8±0.5ms           | 18.6±0.4ms          |    0.99 | load.ugrid.Callback.time_load_file_callback(1)                                                       |
|          | 51.8±1ms             | 51.4±1ms            |    0.99 | load.ugrid.Callback.time_load_file_callback(200000)                                                  |
|          | 18.9±0.6ms           | 18.8±0.5ms          |    1    | load.ugrid.CallbackTime.time_load_file_callback(1)                                                   |
|          | 22.6±0.6ms           | 22.5±0.3ms          |    0.99 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                              |
|          | 2.90±0.2ms           | 2.94±0.1ms          |    1.01 | load.ugrid.DataRealisation.time_realise_data(10000)                                                  |
|          | 5.78±0.2ms           | 4.96±0.8ms          |    0.86 | load.ugrid.DataRealisation.time_realise_data(200000)                                                 |
|          | 39.9±1ms             | 41.1±1ms            |    1.03 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                              |
|          | 832±20ms             | 833±9ms             |    1    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                             |
|          | 189±3ms              | 190±2ms             |    1.01 | merge_concat.Concatenate.time_concatenate                                                            |
|          | 47.7±1ms             | 47.0±0.9ms          |    0.99 | merge_concat.Merge.time_merge                                                                        |
|          | 6.62±0.03ms          | 6.69±0.1ms          |    1.01 | plot.AuxSort.time_aux_sort                                                                           |
|          | 78.4±2ms             | 81.9±4ms            |    1.04 | regridding.CurvilinearRegridding.time_regrid_pic                                                     |
|          | 99.5±0.6ms           | 101±0.8ms           |    1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                            |
|          | 52.3±4ms             | 51.9±4ms            |    0.99 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                                   |
|          | 4.08±0.09ms          | 4.17±0.1ms          |    1.02 | save.NetcdfSave.time_netcdf_save_cube(50, False)                                                     |
|          | 73.4±2ms             | 73.5±1ms            |    1    | save.NetcdfSave.time_netcdf_save_cube(50, True)                                                      |
|          | 53.4±0.6ms           | 53.7±1ms            |    1    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                                    |
|          | 576±5ms              | 578±2ms             |    1    | save.NetcdfSave.time_netcdf_save_cube(600, True)                                                     |
|          | 90.2±0.5ns           | 90.4±1ns            |    1    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                                     |
|          | 55.4±0.6ms           | 57.1±2ms            |    1.03 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                                      |
|          | 89.9±1ns             | 91.0±2ns            |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                                    |
|          | 509±3ms              | 510±4ms             |    1    | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                                     |
|          | 42.6±1ms             | 42.7±0.5ms          |    1    | stats.PearsonR.time_lazy                                                                             |
|          | 19.1±0.2ms           | 19.0±0.4ms          |    0.99 | stats.PearsonR.time_real                                                                             |
|          | 23.8±0.5ms           | 23.9±0.7ms          |    1.01 | trajectory.TrajectoryInterpolation.time_trajectory_linear                                            |
|          | 58.4±0.7ms           | 58.7±0.7ms          |    1.01 | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                           |

Generated by GHA run 9113506081

@trexfeathers trexfeathers merged commit 14bb05d into SciTools:main May 16, 2024
20 checks passed
stephenworsley added a commit to stephenworsley/iris that referenced this pull request Jun 10, 2024
@stephenworsley
Merge branch 'main' into array_equal_fix
a2ac4f8 
* main: (759 commits)
  Bump scitools/workflows from 2024.05.1 to 2024.06.0 (SciTools#5986)
  [pre-commit.ci] pre-commit autoupdate (SciTools#5980)
  Updated environment lockfiles (SciTools#5983)
  Bump scitools/workflows from 2024.05.0 to 2024.05.1 (SciTools#5984)
  Make `slices_over` tests go faster (SciTools#5973)
  Updated environment lockfiles (SciTools#5979)
  Update lock files with associated fixes (SciTools#5953)
  List 25 slowest tests (SciTools#5969)
  used a note to highlight some text (SciTools#5971)
  Lazy `iris.cube.Cube.rolling_window` (SciTools#5795)
  Add memory benchmarks (SciTools#5960)
  Whatsnew for several benchmark developments. (SciTools#5961)
  Remove "on-demand" from some benchmarks (SciTools#5959)
  Add bm_runner 'trialrun' subcommand. (SciTools#5957)
  Automatically install iris-test-data for benchmark data generation (SciTools#5958)
  Added benchmarks for collapse and aggregate (SciTools#5954)
  Use tracemalloc for memory measurements. (SciTools#5948)
  Provide a Nox `benchmarks` session as the recommended entry point (SciTools#5951)
  [pre-commit.ci] pre-commit autoupdate (SciTools#5952)
  Remove unit benchmarks (SciTools#5949)
  ...
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