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SciTools / iris

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
https://scitools-iris.readthedocs.io/en/stable/
BSD 3-Clause "New" or "Revised" License
631 stars 283 forks source link

Performance Shift(s): `e92e36ac` #6001

Closed github-actions[bot] closed 2 months ago

github-actions[bot] commented 3 months ago

Benchmark comparison has identified performance shifts at:

Please review the report below and take corrective/congratulatory action as appropriate :slightly_smiling_face:

:stopwatch: Performance Benchmark Report: e92e36ac

Performance shifts ``` | Change | Before [4cf1767a] | After [e92e36ac]
| Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|------------------------------------------------------| | + | 1.6 | 2 | 1.25 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) | ```
Full benchmark results ``` Benchmarks that have stayed the same: | Change | Before [4cf1767a] | After [e92e36ac]
| Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|--------------------------------------------------------------------------------------------------------| | | 54.0±0.4ms | 53.8±0.6ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False) | | | 54.7±0.6ms | 55.1±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True) | | | 190±2ms | 189±2ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False) | | | 190±2ms | 190±2ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True) | | | 36.5±0.6ms | 37.0±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False) | | | 37.3±0.5ms | 37.8±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True) | | | 36.8±0.4ms | 36.8±0.7ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False) | | | 37.5±0.3ms | 37.9±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True) | | | 46.7±0.5ms | 46.9±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False) | | | 47.5±0.4ms | 47.6±0.6ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True) | | | 120±1ms | 120±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False) | | | 121±1ms | 121±1ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True) | | | 51.7±0.6ms | 51.7±0.5ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False) | | | 52.1±0.5ms | 52.6±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True) | | | 36.2±0.5ms | 36.4±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False) | | | 37.6±0.6ms | 37.3±0.6ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True) | | | 46.8±0.6ms | 47.0±0.5ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False) | | | 47.9±0.6ms | 48.0±0.5ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True) | | | 1.32±0.01s | 1.33±0.01s | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False) | | | 1.32±0.02s | 1.34±0.01s | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True) | | | 686±20ms | 683±10ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False) | | | 676±8ms | 682±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True) | | | 35.3±0.4ms | 35.3±0.3ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False) | | | 35.5±0.3ms | 36.1±0.3ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True) | | | 61.3±0.9ms | 62.1±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False) | | | 61.9±0.5ms | 62.4±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True) | | | 66.2±0.8ms | 66.7±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False) | | | 67.1±0.7ms | 67.8±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True) | | | 61.7±0.6ms | 61.8±0.9ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False) | | | 62.2±0.8ms | 62.5±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True) | | | 20.0±0.5ms | 19.8±0.2ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | | 23.5±0.3ms | 23.8±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | | 129±0.9ms | 129±0.9ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False) | | | 143±1ms | 142±0.6ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True) | | | 18.1±0.3ms | 18.2±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | | 22.0±0.5ms | 22.2±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | | 18.1±0.3ms | 18.0±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | | 22.0±0.5ms | 22.2±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | | 18.6±0.3ms | 18.7±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | | 22.3±0.4ms | 22.5±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | | 34.9±0.5ms | 34.9±1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False) | | | 38.1±1ms | 38.3±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True) | | | 19.0±0.2ms | 19.0±0.2ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | | 22.8±0.9ms | 23.0±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | | 18.6±0.2ms | 18.9±0.4ms | 1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | | 22.6±0.2ms | 22.8±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | | 18.6±0.3ms | 18.7±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | | 22.4±0.3ms | 22.6±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | | 551±6ms | 552±3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False) | | | 566±9ms | 558±7ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True) | | | 149±0.7ms | 149±0.6ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False) | | | 166±0.8ms | 167±1ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True) | | | 17.8±0.3ms | 17.7±0.6ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | | 21.7±0.2ms | 21.8±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | | 21.1±0.3ms | 21.1±0.4ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | | 24.8±0.3ms | 24.9±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True) | | | 21.1±0.3ms | 21.3±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | | 25.0±0.4ms | 25.1±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | | 20.7±0.5ms | 20.7±0.5ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | | 24.2±0.4ms | 24.5±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | | | 83.2±0.7ms | 83.9±0.6ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False) | | | 84.8±0.8ms | 84.7±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True) | | | 94.9±0.6ms | 95.8±0.8ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False) | | | 95.5±0.8ms | 96.4±1ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True) | | | 57.6±0.8ms | 57.8±0.5ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False) | | | 58.6±0.7ms | 59.0±1ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True) | | | 29.5±0.5ms | 29.2±0.3ms | 0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) | | | 32.9±0.6ms | 33.2±0.4ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True) | | | 31.4±0.4ms | 31.4±0.5ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False) | | | 35.0±0.5ms | 35.7±0.6ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True) | | | 25.9±0.2ms | 25.8±0.5ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False) | | | 29.5±0.3ms | 29.7±0.6ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True) | | | 324±4ms | 327±3ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False) | | | 345±3ms | 347±3ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True) | | | 1.13±0.01ms | 1.13±0.01ms | 1 | cube.CubeCreation.time_create(False, 'construct') | | | 406±6μs | 404±4μs | 0.99 | cube.CubeCreation.time_create(False, 'instantiate') | | | 965±20μs | 972±10μs | 1.01 | cube.CubeCreation.time_create(True, 'construct') | | | 592±7μs | 577±7μs | 0.97 | cube.CubeCreation.time_create(True, 'instantiate') | | | 223±2ms | 223±3ms | 1 | cube.CubeEquality.time_equality(False, False, 'all_equal') | | | 113±2ms | 112±2ms | 1 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') | | | 233±3ms | 233±3ms | 1 | cube.CubeEquality.time_equality(False, False, 'data_inequality') | | | 16.6±0.2μs | 16.8±0.3μs | 1.02 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') | | | 304±2ms | 305±4ms | 1 | cube.CubeEquality.time_equality(False, True, 'all_equal') | | | 198±3ms | 199±3ms | 1 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') | | | 317±3ms | 320±3ms | 1.01 | cube.CubeEquality.time_equality(False, True, 'data_inequality') | | | 16.8±0.2μs | 17.0±0.1μs | 1.01 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') | | | 224±2ms | 221±4ms | 0.99 | cube.CubeEquality.time_equality(True, False, 'all_equal') | | | 113±1ms | 112±2ms | 1 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') | | | 232±2ms | 233±2ms | 1.01 | cube.CubeEquality.time_equality(True, False, 'data_inequality') | | | 53.9±0.5μs | 53.8±0.5μs | 1 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') | | | 307±3ms | 307±4ms | 1 | cube.CubeEquality.time_equality(True, True, 'all_equal') | | | 200±1ms | 197±2ms | 0.99 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') | | | 314±3ms | 316±2ms | 1.01 | cube.CubeEquality.time_equality(True, True, 'data_inequality') | | | 55.7±0.7μs | 55.2±0.7μs | 0.99 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') | | | 397±2ns | 395±2ns | 1 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) | | | 261±2ms | 258±3ms | 0.99 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(500) | | | 0.6 | 0.6 | 1 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(50) | | | 57.3 | 57.3 | 1 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(500) | | | 14.6±0.09ms | 14.7±0.1ms | 1.01 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) | | | 16.5±0.3ms | 16.5±0.3ms | 1 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500) | | | 0.5 | 0.5 | 1 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(50) | | | 11.8 | 11.8 | 1 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(500) | | | 105±0.6ms | 105±0.6ms | 1 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) | | | 706±3ms | 708±4ms | 1 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) | | | 1.4 | 1.3 | 0.93 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(50) | | | 92.0 | 92.0 | 1 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(500) | | | 66.0±0.7ms | 67.4±0.5ms | 1.02 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(50) | | | 661±3ms | 660±3ms | 1 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(500) | | | 1.3 | 1.4 | 1.08 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_addedmem_save(50) | | | 92.0 | 92.0 | 1 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_addedmem_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) | | | 674±7μs | 669±3μs | 0.99 | import_iris.Iris.time__concatenate | | | 181±2μs | 183±2μs | 1.02 | import_iris.Iris.time__constraints | | | 111±1μs | 112±2μs | 1.01 | import_iris.Iris.time__data_manager | | | 94.4±0.5μs | 96.0±1μs | 1.02 | import_iris.Iris.time__deprecation | | | 136±1μs | 139±0.8μs | 1.02 | import_iris.Iris.time__lazy_data | | | 905±20μs | 917±10μs | 1.01 | import_iris.Iris.time__merge | | | 79.1±0.6μs | 79.1±0.5μs | 1 | import_iris.Iris.time__representation | | | 480±3μs | 490±8μs | 1.02 | import_iris.Iris.time_analysis | | | 141±1μs | 142±2μs | 1.01 | import_iris.Iris.time_analysis__area_weighted | | | 109±2μs | 111±2μs | 1.02 | import_iris.Iris.time_analysis__grid_angles | | | 244±1μs | 245±2μs | 1 | import_iris.Iris.time_analysis__interpolation | | | 190±3μs | 189±2μs | 1 | import_iris.Iris.time_analysis__regrid | | | 113±0.7μs | 113±0.7μs | 1 | import_iris.Iris.time_analysis__scipy_interpolate | | | 139±0.8μs | 142±3μs | 1.02 | import_iris.Iris.time_analysis_calculus | | | 332±5μs | 329±3μs | 0.99 | import_iris.Iris.time_analysis_cartography | | | 94.5±1μs | 94.4±2μs | 1 | import_iris.Iris.time_analysis_geomerty | | | 216±2μs | 220±2μs | 1.02 | import_iris.Iris.time_analysis_maths | | | 98.6±0.5μs | 99.4±0.9μs | 1.01 | import_iris.Iris.time_analysis_stats | | | 175±1μs | 176±2μs | 1 | import_iris.Iris.time_analysis_trajectory | | | 309±8μs | 313±6μs | 1.01 | import_iris.Iris.time_aux_factory | | | 85.2±0.4μs | 87.0±0.6μs | 1.02 | import_iris.Iris.time_common | | | 164±2μs | 164±2μs | 1 | import_iris.Iris.time_common_lenient | | | 987±4μs | 989±10μs | 1 | import_iris.Iris.time_common_metadata | | | 136±2μs | 135±2μs | 1 | import_iris.Iris.time_common_mixin | | | 1.18±0.01ms | 1.18±0.01ms | 1 | import_iris.Iris.time_common_resolve | | | 201±2μs | 203±1μs | 1.01 | import_iris.Iris.time_config | | | 116±2μs | 118±1μs | 1.02 | import_iris.Iris.time_coord_categorisation | | | 358±3μs | 359±4μs | 1 | import_iris.Iris.time_coord_systems | | | 745±9μs | 746±7μs | 1 | import_iris.Iris.time_coords | | | 670±7μs | 667±7μs | 1 | import_iris.Iris.time_cube | | | 224±1μs | 225±2μs | 1 | import_iris.Iris.time_exceptions | | | 79.2±2μs | 79.4±0.7μs | 1 | import_iris.Iris.time_experimental | | | 188±1μs | 190±1μs | 1.01 | import_iris.Iris.time_fileformats | | | 251±2μs | 253±1μs | 1.01 | import_iris.Iris.time_fileformats__ff | | | 2.71±0.01ms | 2.72±0.02ms | 1 | import_iris.Iris.time_fileformats__ff_cross_references | | | 80.0±0.2μs | 80.5±0.8μs | 1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs | | | 115±1μs | 117±0.9μs | 1.01 | import_iris.Iris.time_fileformats_abf | | | 354±6μs | 354±3μs | 1 | import_iris.Iris.time_fileformats_cf | | | 5.44±0.1ms | 5.42±0.07ms | 1 | import_iris.Iris.time_fileformats_dot | | | 75.0±0.4μs | 77.0±0.6μs | 1.03 | import_iris.Iris.time_fileformats_name | | | 264±5μs | 261±2μs | 0.99 | import_iris.Iris.time_fileformats_name_loaders | | | 120±1μs | 119±1μs | 0.99 | import_iris.Iris.time_fileformats_netcdf | | | 124±1μs | 125±1μs | 1.01 | import_iris.Iris.time_fileformats_nimrod | | | 210±3μs | 212±4μs | 1.01 | import_iris.Iris.time_fileformats_nimrod_load_rules | | | 780±6μs | 788±8μs | 1.01 | import_iris.Iris.time_fileformats_pp | | | 181±2μs | 181±2μs | 1 | import_iris.Iris.time_fileformats_pp_load_rules | | | 134±2μs | 137±0.8μs | 1.02 | import_iris.Iris.time_fileformats_pp_save_rules | | | 518±3μs | 517±3μs | 1 | import_iris.Iris.time_fileformats_rules | | | 224±3μs | 222±2μs | 0.99 | import_iris.Iris.time_fileformats_structured_array_identification | | | 85.5±0.6μs | 85.2±0.5μs | 1 | import_iris.Iris.time_fileformats_um | | | 162±0.6μs | 163±1μs | 1 | import_iris.Iris.time_fileformats_um__fast_load | | | 138±2μs | 139±0.7μs | 1 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields | | | 77.2±0.4μs | 77.4±1μs | 1 | import_iris.Iris.time_fileformats_um__ff_replacement | | | 82.0±1μs | 83.3±0.8μs | 1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring | | | 978±5μs | 988±8μs | 1.01 | import_iris.Iris.time_fileformats_um_cf_map | | | 137±1μs | 138±2μs | 1.01 | import_iris.Iris.time_io | | | 172±2μs | 174±2μs | 1.01 | import_iris.Iris.time_io_format_picker | | | 205±1μs | 209±2μs | 1.02 | import_iris.Iris.time_iris | | | 128±0.5μs | 129±0.4μs | 1.01 | import_iris.Iris.time_iterate | | | 8.58±0.04ms | 8.60±0.1ms | 1 | import_iris.Iris.time_palette | | | 2.20±0.04ms | 2.21±0.04ms | 1 | import_iris.Iris.time_plot | | | 104±0.6μs | 106±1μs | 1.01 | import_iris.Iris.time_quickplot | | | 2.13±0.01ms | 2.15±0.01ms | 1.01 | import_iris.Iris.time_std_names | | | 1.76±0.01ms | 1.79±0.03ms | 1.02 | import_iris.Iris.time_symbols | | | 34.1±0.6ms | 34.5±0.9ms | 1.01 | import_iris.Iris.time_tests | | | 231±2μs | 235±3μs | 1.02 | import_iris.Iris.time_third_party_cartopy | | | 4.76±0.03ms | 4.79±0.04ms | 1.01 | import_iris.Iris.time_third_party_cf_units | | | 108±0.9μs | 109±1μs | 1.01 | import_iris.Iris.time_third_party_cftime | | | 2.81±0.01ms | 2.82±0.02ms | 1 | import_iris.Iris.time_third_party_matplotlib | | | 1.06±0ms | 1.06±0ms | 0.99 | import_iris.Iris.time_third_party_numpy | | | 160±2μs | 159±2μs | 1 | import_iris.Iris.time_third_party_scipy | | | 101±0.5μs | 101±0.5μs | 1 | import_iris.Iris.time_time | | | 323±2μs | 323±5μs | 1 | import_iris.Iris.time_util | | | 74.0±0.8μs | 74.7±0.8μs | 1.01 | iterate.IZip.time_izip | | | 8.15±0.03ms | 8.12±0.07ms | 1 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') | | | 24.0±0.2ms | 23.9±0.2ms | 1 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | | 8.91±0.1ms | 8.98±0.1ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') | | | 8.15±0.07ms | 8.12±0.03ms | 1 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') | | | 21.0±0.2ms | 21.3±0.4ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | | 8.83±0.04ms | 8.99±0.1ms | 1.02 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') | | | 1.37±0.02s | 1.38±0.02s | 1 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') | | | 21.2±0.3ms | 20.9±0.4ms | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | | 1.53±0.01s | 1.54±0.02s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') | | | 1.36±0.02s | 1.37±0s | 1 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') | | | 21.1±0.3ms | 20.7±0.2ms | 0.98 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | | 1.54±0.02s | 1.53±0.01s | 1 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') | | | 3.93±0.02ms | 3.95±0.05ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') | | | 19.7±0.2ms | 19.7±0.1ms | 1 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | | 4.20±0.02ms | 4.24±0.03ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') | | | 3.94±0.02ms | 4.00±0.06ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') | | | 19.7±0.3ms | 19.9±0.3ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | | 4.19±0.02ms | 4.23±0.03ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') | | | 31.3±2ms | 31.2±1ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') | | | 18.5±0.2ms | 18.7±0.5ms | 1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') | | | 13.4±1ms | 12.9±2ms | 0.96 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') | | | 25.7±2ms | 25.5±1ms | 0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') | | | 70.1±2ms | 70.5±2ms | 1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') | | | 25.8±1ms | 25.5±2ms | 0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') | | | 447±2ms | 444±3ms | 0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') | | | 2.89±0.1ms | 2.87±0.2ms | 0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') | | | 453±2ms | 451±3ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') | | | 452±3ms | 451±3ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') | | | 2.88±0.05ms | 2.90±0.08ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') | | | 456±3ms | 455±3ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') | | | 1.59±0.07ms | 1.59±0.09ms | 1 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') | | | 2.83±0.1ms | 2.88±0.1ms | 1.02 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') | | | 1.60±0.06ms | 1.63±0.1ms | 1.02 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') | | | 1.58±0.05ms | 1.59±0.08ms | 1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') | | | 2.98±0.2ms | 2.80±0.1ms | 0.94 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') | | | 1.62±0.07ms | 1.58±0.09ms | 0.97 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') | | | 354±4ms | 352±4ms | 1 | load.ManyVars.time_many_var_load | | | 8.26±0.03ms | 8.34±0.06ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') | | | 9.10±0.05ms | 9.16±0.05ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') | | | 1.38±0.01s | 1.38±0.01s | 1 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') | | | 1.55±0.01s | 1.55±0.01s | 1 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') | | | 4.00±0.01ms | 4.02±0.03ms | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') | | | 4.26±0.05ms | 4.34±0.04ms | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') | | | 8.15±0.04ms | 8.18±0.02ms | 1 | load.StructuredFF.time_structured_load((1280, 960, 5), False) | | | 4.83±0.02ms | 4.84±0.06ms | 1 | 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) | | | 377±2ms | 375±2ms | 1 | load.StructuredFF.time_structured_load((2, 2, 1000), True) | | | 3.95±0.02ms | 3.96±0.01ms | 1 | load.StructuredFF.time_structured_load((2, 2, 2), False) | | | 3.59±0.04ms | 3.59±0.02ms | 1 | load.StructuredFF.time_structured_load((2, 2, 2), True) | | | 147±0.9ms | 147±1ms | 1 | load.TimeConstraint.time_time_constraint(20, 'FF') | | | 23.2±0.4ms | 23.3±0.4ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | | 163±2ms | 162±0.8ms | 1 | load.TimeConstraint.time_time_constraint(20, 'PP') | | | 29.3±0.3ms | 29.1±0.2ms | 0.99 | load.TimeConstraint.time_time_constraint(3, 'FF') | | | 22.8±0.1ms | 23.3±0.3ms | 1.02 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | | | 31.4±0.2ms | 31.6±0.3ms | 1.01 | load.TimeConstraint.time_time_constraint(3, 'PP') | | | 17.8±0.4ms | 17.8±0.3ms | 1 | load.ugrid.BasicLoading.time_load_file(1) | | | 41.7±0.9ms | 41.5±0.6ms | 1 | load.ugrid.BasicLoading.time_load_file(200000) | | | 14.2±0.3ms | 14.1±0.3ms | 0.99 | load.ugrid.BasicLoading.time_load_mesh(1) | | | 22.3±0.4ms | 22.5±0.4ms | 1.01 | load.ugrid.BasicLoading.time_load_mesh(200000) | | | 17.6±0.2ms | 17.8±0.4ms | 1.01 | load.ugrid.BasicLoadingTime.time_load_file(1) | | | 20.7±0.6ms | 20.7±0.5ms | 1 | load.ugrid.BasicLoadingTime.time_load_file(200000) | | | 14.0±0.2ms | 14.2±0.3ms | 1.01 | load.ugrid.BasicLoadingTime.time_load_mesh(1) | | | 17.1±0.4ms | 16.8±0.4ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) | | | 18.8±0.5ms | 18.3±0.1ms | 0.97 | load.ugrid.Callback.time_load_file_callback(1) | | | 52.1±0.5ms | 51.0±0.8ms | 0.98 | load.ugrid.Callback.time_load_file_callback(200000) | | | 18.9±0.4ms | 18.5±0.4ms | 0.98 | load.ugrid.CallbackTime.time_load_file_callback(1) | | | 22.9±0.4ms | 22.5±0.6ms | 0.98 | load.ugrid.CallbackTime.time_load_file_callback(200000) | | | 2.81±0.1ms | 2.79±0.09ms | 0.99 | load.ugrid.DataRealisation.time_realise_data(10000) | | | 3.99±0.8ms | 3.98±0.9ms | 1 | load.ugrid.DataRealisation.time_realise_data(200000) | | | 38.4±0.9ms | 37.9±1ms | 0.99 | load.ugrid.DataRealisationTime.time_realise_data(10000) | | | 795±9ms | 798±3ms | 1 | load.ugrid.DataRealisationTime.time_realise_data(200000) | | | 185±2ms | 185±2ms | 1 | merge_concat.Concatenate.time_concatenate | | | 226.9 | 226.9 | 1 | merge_concat.Concatenate.track_mem_merge | | | 46.6±0.6ms | 47.0±0.6ms | 1.01 | merge_concat.Merge.time_merge | | | 10.8 | 10.8 | 1 | merge_concat.Merge.track_mem_merge | | | 6.55±0.02ms | 6.58±0.02ms | 1 | plot.AuxSort.time_aux_sort | | | 78.0±5ms | 80.7±4ms | 1.03 | regridding.CurvilinearRegridding.time_regrid_pic | | | 144.8 | 144.8 | 1 | regridding.CurvilinearRegridding.track_mem_regrid_pic | | | 98.8±0.7ms | 98.8±0.7ms | 1 | regridding.HorizontalChunkedRegridding.time_regrid_area_w | | | 49.4±2ms | 48.6±1ms | 0.98 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid | | | 111.5 | 111.5 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w | | | 151.6 | 151.6 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w_new_grid | | | 4.09±0.07ms | 4.12±0.05ms | 1.01 | save.NetcdfSave.time_netcdf_save_cube(50, False) | | | 71.9±0.5ms | 72.8±1ms | 1.01 | save.NetcdfSave.time_netcdf_save_cube(50, True) | | | 52.3±0.5ms | 53.0±1ms | 1.01 | save.NetcdfSave.time_netcdf_save_cube(600, False) | | | 565±2ms | 563±5ms | 1 | save.NetcdfSave.time_netcdf_save_cube(600, True) | | | 90.1±0.8ns | 91.4±3ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, False) | | | 55.1±0.5ms | 55.4±0.6ms | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, True) | | | 89.8±1ns | 90.9±3ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, False) | | | 494±3ms | 498±4ms | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, True) | | | 0.3 | 0.3 | 1 | save.NetcdfSave.track_addedmem_netcdf_save(50, False) | | | 0.3 | 0.3 | 1 | save.NetcdfSave.track_addedmem_netcdf_save(600, False) | | | 181.7 | 214.6 | 1.18 | save.NetcdfSave.track_addedmem_netcdf_save(600, True) | | | 42.5±0.7ms | 42.2±1ms | 0.99 | stats.PearsonR.time_lazy | | | 18.8±0.3ms | 18.9±0.2ms | 1 | stats.PearsonR.time_real | | | 19.4 | 19.4 | 1 | stats.PearsonR.track_lazy | | | 17.8 | 17.8 | 1 | stats.PearsonR.track_real | | | 23.4±1ms | 23.8±0.8ms | 1.02 | trajectory.TrajectoryInterpolation.time_trajectory_linear | | | 58.1±0.6ms | 59.1±1ms | 1.02 | trajectory.TrajectoryInterpolation.time_trajectory_nearest | | | 32.1 | 32.1 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_linear | | | 21.5 | 21.5 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_nearest | Benchmarks that have got worse: | Change | Before [4cf1767a] | After [e92e36ac]
| Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|------------------------------------------------------| | + | 1.6 | 2 | 1.25 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) | ```

Generated by GHA run 9473887479

trexfeathers commented 3 months ago

Note that I have a potential solution to the memory benchmarks being noisy, but it needs more exploration:

5981

pp-mo commented 2 months ago

Noise