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
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Performance Shift(s): `2d4eda00` #6075

Closed github-actions[bot] closed 1 month ago

github-actions[bot] commented 1 month 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: 2d4eda00

Performance shifts ``` | Change | Before [7d26cc12] | After [2d4eda00] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|----------------------------------------------------------------| | + | 24.4±0.6ms | 30.1±1ms | 1.23 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | + | 21.6±0.1ms | 27.2±0.5ms | 1.26 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | + | 21.2±0.2ms | 26.7±0.4ms | 1.26 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | + | 21.1±0.2ms | 26.8±0.2ms | 1.27 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | + | 20.2±0.1ms | 25.9±0.3ms | 1.28 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | + | 20.2±0.2ms | 25.8±0.2ms | 1.28 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | + | 370±4ms | 500±7ms | 1.35 | load.ManyVars.time_many_var_load | | + | 23.5±0.3ms | 29.4±0.3ms | 1.25 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | + | 23.3±0.4ms | 28.8±0.1ms | 1.24 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | ```
Full benchmark results ``` Benchmarks that have stayed the same: | Change | Before [7d26cc12] | After [2d4eda00] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|--------------------------------------------------------------------------------------------------------| | | 53.7±0.9ms | 54.1±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False) | | | 54.6±0.8ms | 54.4±0.5ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True) | | | 191±1ms | 192±3ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False) | | | 191±1ms | 192±1ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True) | | | 36.4±0.7ms | 36.7±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False) | | | 37.5±0.3ms | 37.8±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True) | | | 36.8±0.3ms | 37.3±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False) | | | 37.5±0.2ms | 37.5±0.4ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True) | | | 46.5±0.6ms | 46.8±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False) | | | 47.8±0.7ms | 47.8±0.4ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True) | | | 120±1ms | 121±1ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False) | | | 121±1ms | 123±2ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True) | | | 51.3±0.7ms | 51.5±0.7ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False) | | | 51.7±0.5ms | 51.7±0.9ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True) | | | 36.6±0.4ms | 36.5±0.3ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False) | | | 37.0±0.4ms | 37.4±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True) | | | 46.6±0.4ms | 47.2±0.9ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False) | | | 47.1±0.6ms | 47.5±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True) | | | 1.33±0.02s | 1.31±0.01s | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False) | | | 1.31±0.01s | 1.31±0.01s | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True) | | | 669±8ms | 676±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False) | | | 680±10ms | 686±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True) | | | 34.8±0.2ms | 35.1±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False) | | | 36.1±0.3ms | 36.1±0.4ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True) | | | 62.2±0.6ms | 62.0±0.4ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False) | | | 62.8±0.4ms | 62.9±0.8ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True) | | | 65.9±0.7ms | 66.4±1ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False) | | | 66.6±0.8ms | 67.1±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True) | | | 61.0±0.5ms | 61.3±0.7ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False) | | | 61.5±0.9ms | 62.4±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True) | | | 19.8±0.4ms | 19.9±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | | 23.3±0.5ms | 23.5±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | | 131±1ms | 131±1ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False) | | | 145±1ms | 145±1ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True) | | | 18.1±0.3ms | 18.2±0.1ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | | 22.1±0.2ms | 21.9±0.4ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | | 18.1±0.4ms | 18.0±0.3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | | 22.0±0.4ms | 22.0±0.2ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | | 18.9±0.2ms | 18.6±0.3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | | 22.6±0.4ms | 22.3±0.1ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | | 34.0±2ms | 35.0±0.6ms | 1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False) | | | 37.7±0.8ms | 38.5±1ms | 1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True) | | | 19.4±0.6ms | 19.1±0.5ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | | 22.7±0.6ms | 22.8±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | | 19.1±0.6ms | 18.7±0.3ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | | 22.9±0.6ms | 22.5±0.4ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | | 18.8±0.5ms | 18.5±0.4ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | | 22.7±0.7ms | 22.6±0.3ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | | 549±3ms | 552±4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False) | | | 552±5ms | 554±3ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True) | | | 152±2ms | 150±2ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False) | | | 168±2ms | 169±1ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True) | | | 18.1±0.5ms | 17.9±0.2ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | | 21.7±0.3ms | 21.7±0.2ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | | 21.2±0.4ms | 21.3±0.3ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | | 24.8±0.4ms | 24.9±0.3ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True) | | | 21.3±0.2ms | 21.2±0.3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | | 24.9±0.4ms | 24.9±0.2ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | | 20.6±0.3ms | 20.8±0.9ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | | 24.2±0.5ms | 24.4±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | | | 83.1±0.7ms | 83.4±0.7ms | 1.00 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False) | | | 83.8±1ms | 84.4±0.9ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True) | | | 95.4±1ms | 95.4±0.8ms | 1.00 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False) | | | 95.9±0.7ms | 96.3±0.9ms | 1.00 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True) | | | 58.1±0.8ms | 58.5±0.6ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False) | | | 58.7±0.7ms | 59.2±0.9ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True) | | | 29.0±0.6ms | 29.2±0.4ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) | | | 33.0±0.4ms | 32.9±0.5ms | 1.00 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True) | | | 31.0±0.6ms | 31.4±0.4ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False) | | | 34.9±0.8ms | 35.2±0.6ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True) | | | 25.7±0.3ms | 26.1±0.2ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False) | | | 29.3±0.6ms | 29.6±0.3ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True) | | | 325±4ms | 323±4ms | 0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False) | | | 342±5ms | 346±5ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True) | | | 1.11±0.02ms | 1.12±0.02ms | 1.01 | cube.CubeCreation.time_create(False, 'construct') | | | 399±5μs | 405±3μs | 1.02 | cube.CubeCreation.time_create(False, 'instantiate') | | | 939±10μs | 956±8μs | 1.02 | cube.CubeCreation.time_create(True, 'construct') | | | 582±9μs | 578±8μs | 0.99 | cube.CubeCreation.time_create(True, 'instantiate') | | | 222±2ms | 222±2ms | 1.00 | cube.CubeEquality.time_equality(False, False, 'all_equal') | | | 113±2ms | 113±1ms | 0.99 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') | | | 231±2ms | 234±2ms | 1.01 | cube.CubeEquality.time_equality(False, False, 'data_inequality') | | | 16.6±0.3μs | 16.6±0.3μs | 1.00 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') | | | 309±2ms | 310±2ms | 1.00 | cube.CubeEquality.time_equality(False, True, 'all_equal') | | | 200±3ms | 200±2ms | 1.00 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') | | | 318±4ms | 319±2ms | 1.00 | cube.CubeEquality.time_equality(False, True, 'data_inequality') | | | 16.7±0.1μs | 16.6±0.3μs | 0.99 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') | | | 219±4ms | 225±2ms | 1.03 | cube.CubeEquality.time_equality(True, False, 'all_equal') | | | 112±2ms | 113±1ms | 1.01 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') | | | 233±3ms | 235±2ms | 1.01 | cube.CubeEquality.time_equality(True, False, 'data_inequality') | | | 52.9±0.4μs | 53.4±0.3μs | 1.01 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') | | | 307±3ms | 310±2ms | 1.01 | cube.CubeEquality.time_equality(True, True, 'all_equal') | | | 201±1ms | 201±3ms | 1.00 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') | | | 317±2ms | 322±3ms | 1.02 | cube.CubeEquality.time_equality(True, True, 'data_inequality') | | | 54.1±0.5μs | 54.5±0.5μs | 1.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') | | | 394±5ns | 389±2ns | 0.99 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) | | | 257±3ms | 258±1ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(500) | | | 0.6 | 0.6 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(50) | | | 57.3 | 57.3 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(500) | | | 14.3±0.2ms | 14.5±0.3ms | 1.01 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) | | | 16.1±0.2ms | 16.6±0.6ms | 1.03 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500) | | | 0.5 | 0.5 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(50) | | | 11.8 | 11.8 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(500) | | | 107±2ms | 107±1ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) | | | 701±5ms | 702±4ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) | | | 1.4 | 1.4 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(50) | | | 92.0 | 92.0 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(500) | | | 67.1±0.5ms | 67.0±0.9ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(50) | | | 660±4ms | 654±5ms | 0.99 | 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 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_addedmem_save(500) | | | 2.1752849999999997 | 2.1752849999999997 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(50) | | | 216.01528499999998 | 216.01528499999998 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(500) | | | 659±5μs | 667±10μs | 1.01 | import_iris.Iris.time__concatenate | | | 181±2μs | 181±2μs | 1.00 | import_iris.Iris.time__constraints | | | 111±1μs | 111±2μs | 0.99 | import_iris.Iris.time__data_manager | | | 94.5±0.9μs | 94.7±0.8μs | 1.00 | import_iris.Iris.time__deprecation | | | 139±2μs | 137±0.9μs | 0.99 | import_iris.Iris.time__lazy_data | | | 897±6μs | 894±10μs | 1.00 | import_iris.Iris.time__merge | | | 78.3±1μs | 77.3±0.5μs | 0.99 | import_iris.Iris.time__representation | | | 490±5μs | 487±5μs | 0.99 | import_iris.Iris.time_analysis | | | 140±1μs | 141±2μs | 1.01 | import_iris.Iris.time_analysis__area_weighted | | | 111±0.9μs | 111±1μs | 1.00 | import_iris.Iris.time_analysis__grid_angles | | | 241±2μs | 243±2μs | 1.01 | import_iris.Iris.time_analysis__interpolation | | | 186±2μs | 188±2μs | 1.01 | import_iris.Iris.time_analysis__regrid | | | 113±1μs | 112±2μs | 1.00 | import_iris.Iris.time_analysis__scipy_interpolate | | | 143±1μs | 142±0.9μs | 0.99 | import_iris.Iris.time_analysis_calculus | | | 330±2μs | 330±2μs | 1.00 | import_iris.Iris.time_analysis_cartography | | | 96.8±0.6μs | 95.3±0.9μs | 0.98 | import_iris.Iris.time_analysis_geomerty | | | 219±2μs | 219±2μs | 1.00 | import_iris.Iris.time_analysis_maths | | | 98.3±1μs | 97.6±0.3μs | 0.99 | import_iris.Iris.time_analysis_stats | | | 176±3μs | 176±2μs | 1.00 | import_iris.Iris.time_analysis_trajectory | | | 305±3μs | 310±6μs | 1.02 | import_iris.Iris.time_aux_factory | | | 85.1±0.6μs | 85.1±0.5μs | 1.00 | import_iris.Iris.time_common | | | 163±2μs | 163±2μs | 1.00 | import_iris.Iris.time_common_lenient | | | 995±20μs | 995±10μs | 1.00 | import_iris.Iris.time_common_metadata | | | 132±2μs | 133±0.7μs | 1.01 | import_iris.Iris.time_common_mixin | | | 1.19±0.01ms | 1.19±0.01ms | 1.00 | import_iris.Iris.time_common_resolve | | | 198±2μs | 200±2μs | 1.01 | import_iris.Iris.time_config | | | 118±2μs | 118±2μs | 1.00 | import_iris.Iris.time_coord_categorisation | | | 363±4μs | 367±3μs | 1.01 | import_iris.Iris.time_coord_systems | | | 744±8μs | 748±5μs | 1.01 | import_iris.Iris.time_coords | | | 676±10μs | 676±5μs | 1.00 | import_iris.Iris.time_cube | | | 230±3μs | 233±3μs | 1.01 | import_iris.Iris.time_exceptions | | | 80.7±0.9μs | 78.3±0.4μs | 0.97 | import_iris.Iris.time_experimental | | | 186±3μs | 189±3μs | 1.02 | import_iris.Iris.time_fileformats | | | 255±4μs | 252±3μs | 0.99 | import_iris.Iris.time_fileformats__ff | | | 2.70±0.01ms | 2.71±0.01ms | 1.00 | import_iris.Iris.time_fileformats__ff_cross_references | | | 79.7±0.7μs | 79.4±0.7μs | 1.00 | import_iris.Iris.time_fileformats__pp_lbproc_pairs | | | 117±1μs | 116±1μs | 0.98 | import_iris.Iris.time_fileformats_abf | | | 366±6μs | 362±3μs | 0.99 | import_iris.Iris.time_fileformats_cf | | | 5.37±0.04ms | 5.38±0.06ms | 1.00 | import_iris.Iris.time_fileformats_dot | | | 76.8±1μs | 75.4±0.8μs | 0.98 | import_iris.Iris.time_fileformats_name | | | 260±2μs | 257±3μs | 0.99 | import_iris.Iris.time_fileformats_name_loaders | | | 120±2μs | 119±1μs | 0.99 | import_iris.Iris.time_fileformats_netcdf | | | 125±0.8μs | 123±1μs | 0.99 | import_iris.Iris.time_fileformats_nimrod | | | 216±3μs | 213±2μs | 0.99 | import_iris.Iris.time_fileformats_nimrod_load_rules | | | 787±8μs | 784±6μs | 1.00 | import_iris.Iris.time_fileformats_pp | | | 181±3μs | 181±1μs | 1.00 | import_iris.Iris.time_fileformats_pp_load_rules | | | 137±2μs | 135±1μs | 0.99 | import_iris.Iris.time_fileformats_pp_save_rules | | | 520±4μs | 520±10μs | 1.00 | import_iris.Iris.time_fileformats_rules | | | 221±4μs | 222±3μs | 1.01 | import_iris.Iris.time_fileformats_structured_array_identification | | | 85.0±0.8μs | 84.5±0.6μs | 0.99 | import_iris.Iris.time_fileformats_um | | | 164±2μs | 161±2μs | 0.99 | import_iris.Iris.time_fileformats_um__fast_load | | | 140±4μs | 138±1μs | 0.98 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields | | | 76.5±0.8μs | 75.4±0.9μs | 0.99 | import_iris.Iris.time_fileformats_um__ff_replacement | | | 83.0±2μs | 82.9±1μs | 1.00 | import_iris.Iris.time_fileformats_um__optimal_array_structuring | | | 987±9μs | 987±5μs | 1.00 | import_iris.Iris.time_fileformats_um_cf_map | | | 137±1μs | 136±1μs | 1.00 | import_iris.Iris.time_io | | | 176±2μs | 173±2μs | 0.98 | import_iris.Iris.time_io_format_picker | | | 227±2μs | 230±1μs | 1.01 | import_iris.Iris.time_iris | | | 127±2μs | 127±2μs | 1.00 | import_iris.Iris.time_iterate | | | 8.38±0.07ms | 8.40±0.09ms | 1.00 | import_iris.Iris.time_palette | | | 2.25±0.06ms | 2.26±0.04ms | 1.00 | import_iris.Iris.time_plot | | | 106±1μs | 105±0.6μs | 0.99 | import_iris.Iris.time_quickplot | | | 2.15±0.01ms | 2.17±0.01ms | 1.01 | import_iris.Iris.time_std_names | | | 1.75±0.01ms | 1.76±0.02ms | 1.01 | import_iris.Iris.time_symbols | | | 34.4±0.9ms | 33.9±0.5ms | 0.98 | import_iris.Iris.time_tests | | | 256±2μs | 253±2μs | 0.99 | import_iris.Iris.time_third_party_cartopy | | | 4.80±0.03ms | 4.80±0.03ms | 1.00 | import_iris.Iris.time_third_party_cf_units | | | 122±2μs | 119±2μs | 0.98 | import_iris.Iris.time_third_party_cftime | | | 2.78±0.02ms | 2.81±0.02ms | 1.01 | import_iris.Iris.time_third_party_matplotlib | | | 1.07±0.01ms | 1.09±0.02ms | 1.02 | import_iris.Iris.time_third_party_numpy | | | 175±3μs | 171±2μs | 0.98 | import_iris.Iris.time_third_party_scipy | | | 101±1μs | 101±0.8μs | 1.01 | import_iris.Iris.time_time | | | 322±5μs | 325±3μs | 1.01 | import_iris.Iris.time_util | | | 72.8±0.5μs | 74.7±0.6μs | 1.03 | iterate.IZip.time_izip | | | 8.03±0.09ms | 8.15±0.1ms | 1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') | | | 8.76±0.08ms | 8.81±0.08ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') | | | 7.95±0.03ms | 8.05±0.06ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') | | | 8.67±0.1ms | 8.90±0.05ms | 1.03 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') | | | 1.34±0.01s | 1.35±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') | | | 1.51±0.01s | 1.51±0.01s | 1.00 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') | | | 1.33±0.01s | 1.34±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') | | | 1.51±0.01s | 1.52±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') | | | 3.86±0.04ms | 3.96±0.04ms | 1.03 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') | | | 4.12±0.04ms | 4.19±0.03ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') | | | 3.85±0.03ms | 3.89±0.01ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') | | | 4.10±0.03ms | 4.16±0.02ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') | | | 31.8±3ms | 32.7±3ms | 1.03 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') | | | 19.6±0.3ms | 19.0±0.6ms | 0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') | | | 13.5±2ms | 13.5±2ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') | | | 25.7±2ms | 25.6±0.9ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') | | | 70.8±2ms | 70.8±2ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') | | | 25.7±0.9ms | 25.8±2ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') | | | 439±3ms | 441±2ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') | | | 2.74±0.08ms | 2.81±0.1ms | 1.03 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') | | | 445±3ms | 446±2ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') | | | 443±3ms | 445±2ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') | | | 2.87±0.09ms | 2.90±0.1ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') | | | 449±2ms | 453±2ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') | | | 1.57±0.06ms | 1.53±0.06ms | 0.97 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') | | | 2.88±0.08ms | 2.84±0.09ms | 0.99 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') | | | 1.60±0.05ms | 1.58±0.09ms | 0.99 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') | | | 1.56±0.09ms | 1.58±0.08ms | 1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') | | | 2.99±0.1ms | 3.01±0.06ms | 1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') | | | 1.55±0.03ms | 1.58±0.07ms | 1.02 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') | | | 8.13±0.08ms | 8.15±0.04ms | 1.00 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') | | | 8.95±0.06ms | 9.04±0.08ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') | | | 1.36±0.02s | 1.36±0.01s | 1.00 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') | | | 1.53±0.01s | 1.54±0.01s | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') | | | 3.91±0.04ms | 3.98±0.03ms | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') | | | 4.20±0.04ms | 4.30±0.07ms | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') | | | 7.98±0.1ms | 8.07±0.08ms | 1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), False) | | | 4.73±0.05ms | 4.79±0.03ms | 1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), True) | | | 1.33±0.01s | 1.33±0.01s | 1.00 | load.StructuredFF.time_structured_load((2, 2, 1000), False) | | | 367±5ms | 366±3ms | 1.00 | load.StructuredFF.time_structured_load((2, 2, 1000), True) | | | 3.90±0.05ms | 3.88±0.03ms | 1.00 | load.StructuredFF.time_structured_load((2, 2, 2), False) | | | 3.51±0.03ms | 3.54±0.03ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 2), True) | | | 146±1ms | 149±1ms | 1.02 | load.TimeConstraint.time_time_constraint(20, 'FF') | | | 162±3ms | 163±0.7ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'PP') | | | 29.3±0.3ms | 29.8±0.5ms | 1.02 | load.TimeConstraint.time_time_constraint(3, 'FF') | | | 31.3±0.1ms | 32.1±0.5ms | 1.03 | load.TimeConstraint.time_time_constraint(3, 'PP') | | | 17.9±0.3ms | 17.7±0.3ms | 0.99 | load.ugrid.BasicLoading.time_load_file(1) | | | 40.9±0.4ms | 41.0±0.3ms | 1.00 | load.ugrid.BasicLoading.time_load_file(200000) | | | 14.4±0.1ms | 14.7±0.3ms | 1.02 | load.ugrid.BasicLoading.time_load_mesh(1) | | | 22.6±0.5ms | 22.8±0.3ms | 1.01 | load.ugrid.BasicLoading.time_load_mesh(200000) | | | 17.6±0.4ms | 18.0±0.5ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_file(1) | | | 20.2±0.4ms | 20.6±0.4ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_file(200000) | | | 14.5±0.1ms | 14.4±0.2ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(1) | | | 17.0±0.4ms | 17.1±0.5ms | 1.01 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) | | | 18.6±0.3ms | 18.7±0.3ms | 1.01 | load.ugrid.Callback.time_load_file_callback(1) | | | 50.1±0.5ms | 50.7±0.8ms | 1.01 | load.ugrid.Callback.time_load_file_callback(200000) | | | 18.6±0.3ms | 19.0±0.4ms | 1.02 | load.ugrid.CallbackTime.time_load_file_callback(1) | | | 22.3±0.3ms | 22.4±0.4ms | 1.01 | load.ugrid.CallbackTime.time_load_file_callback(200000) | | | 2.88±0.1ms | 2.78±0.08ms | 0.97 | load.ugrid.DataRealisation.time_realise_data(10000) | | | 5.48±0.09ms | 4.08±0.9ms | ~0.74 | load.ugrid.DataRealisation.time_realise_data(200000) | | | 38.2±0.9ms | 37.6±0.8ms | 0.98 | load.ugrid.DataRealisationTime.time_realise_data(10000) | | | 804±5ms | 808±5ms | 1.01 | load.ugrid.DataRealisationTime.time_realise_data(200000) | | | 120±0.9ms | 121±1ms | 1.00 | merge_concat.Concatenate.time_concatenate | | | 24.1 | 24.1 | 1.00 | merge_concat.Concatenate.track_mem_merge | | | 48.6±0.8ms | 48.1±0.3ms | 0.99 | merge_concat.Merge.time_merge | | | 11.0 | 11.0 | 1.00 | merge_concat.Merge.track_mem_merge | | | 6.59±0.05ms | 6.58±0.07ms | 1.00 | plot.AuxSort.time_aux_sort | | | 77.9±3ms | 75.5±4ms | 0.97 | regridding.CurvilinearRegridding.time_regrid_pic | | | 144.9 | 144.9 | 1.00 | regridding.CurvilinearRegridding.track_mem_regrid_pic | | | 98.6±0.8ms | 98.9±0.6ms | 1.00 | regridding.HorizontalChunkedRegridding.time_regrid_area_w | | | 49.7±3ms | 48.5±1ms | 0.98 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid | | | 111.6 | 111.6 | 1.00 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w | | | 150.6 | 150.6 | 1.00 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w_new_grid | | | 4.11±0.04ms | 4.09±0.04ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(50, False) | | | 72.1±1ms | 71.8±0.4ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(50, True) | | | 51.7±0.7ms | 52.5±1ms | 1.02 | save.NetcdfSave.time_netcdf_save_cube(600, False) | | | 567±4ms | 565±3ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(600, True) | | | 89.6±2ns | 89.6±1ns | 1.00 | save.NetcdfSave.time_netcdf_save_mesh(50, False) | | | 54.9±0.1ms | 55.9±0.8ms | 1.02 | save.NetcdfSave.time_netcdf_save_mesh(50, True) | | | 90.1±0.8ns | 90.8±1ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, False) | | | 498±2ms | 499±4ms | 1.00 | save.NetcdfSave.time_netcdf_save_mesh(600, True) | | | 0.3 | 0.3 | 1.00 | save.NetcdfSave.track_addedmem_netcdf_save(50, False) | | | 1.7 | 1.7 | 1.00 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) | | | 0.3 | 0.3 | 1.00 | save.NetcdfSave.track_addedmem_netcdf_save(600, False) | | | 231.1 | 214.6 | 0.93 | save.NetcdfSave.track_addedmem_netcdf_save(600, True) | | | 42.8±1ms | 42.6±1ms | 1.00 | stats.PearsonR.time_lazy | | | 19.0±0.3ms | 19.1±0.2ms | 1.00 | stats.PearsonR.time_real | | | 19.6 | 19.6 | 1.00 | stats.PearsonR.track_lazy | | | 17.8 | 17.8 | 1.00 | stats.PearsonR.track_real | | | 23.6±0.6ms | 22.7±0.9ms | 0.96 | trajectory.TrajectoryInterpolation.time_trajectory_linear | | | 61.8±1ms | 61.3±1ms | 0.99 | trajectory.TrajectoryInterpolation.time_trajectory_nearest | | | 32.2 | 32.2 | 1.00 | trajectory.TrajectoryInterpolation.track_trajectory_linear | | | 21.6 | 21.6 | 1.00 | trajectory.TrajectoryInterpolation.track_trajectory_nearest | Benchmarks that have got worse: | Change | Before [7d26cc12] | After [2d4eda00] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|----------------------------------------------------------------| | + | 24.4±0.6ms | 30.1±1ms | 1.23 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | + | 21.6±0.1ms | 27.2±0.5ms | 1.26 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | + | 21.2±0.2ms | 26.7±0.4ms | 1.26 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | + | 21.1±0.2ms | 26.8±0.2ms | 1.27 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | + | 20.2±0.1ms | 25.9±0.3ms | 1.28 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | + | 20.2±0.2ms | 25.8±0.2ms | 1.28 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | + | 370±4ms | 500±7ms | 1.35 | load.ManyVars.time_many_var_load | | + | 23.5±0.3ms | 29.4±0.3ms | 1.25 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | + | 23.3±0.4ms | 28.8±0.1ms | 1.24 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | ```

Generated by GHA run 10049617470

pp-mo commented 1 month ago

This might be real.

6080 replicates : think it is a real problem.

Possibly our blanket adoption of UGRID-enabled loading comes with an inefficiency. I'm putting this on the current sprint task board...

trexfeathers commented 1 month ago

Closed by #6088