We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
d3ec6174
Benchmark comparison has identified performance shifts at:
Please review the report below and take corrective/congratulatory action as appropriate :slightly_smiling_face:
| Change | Before [b8571748] <main~1> | After [d3ec6174] <main> | Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|------------------------------------------------------| | + | 1.7 | 2.1 | 1.24 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) |
Benchmarks that have stayed the same: | Change | Before [b8571748] <main~1> | After [d3ec6174] <main> | Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|--------------------------------------------------------------------------------------------------------| | | 53.7±0.9ms | 53.5±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False) | | | 54.2±0.4ms | 53.9±0.4ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True) | | | 189±1ms | 189±2ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False) | | | 190±1ms | 189±3ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True) | | | 36.3±0.4ms | 36.5±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False) | | | 36.9±0.2ms | 37.2±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True) | | | 36.6±0.4ms | 36.2±0.8ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False) | | | 37.1±0.3ms | 37.1±0.9ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True) | | | 46.4±0.7ms | 46.4±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False) | | | 47.1±0.7ms | 46.9±0.8ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True) | | | 120±1ms | 120±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False) | | | 120±0.8ms | 121±2ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True) | | | 50.7±0.7ms | 50.9±0.9ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False) | | | 51.0±0.4ms | 51.9±0.7ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True) | | | 36.1±0.3ms | 36.0±0.6ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False) | | | 37.6±0.2ms | 37.0±1ms | 0.98 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True) | | | 46.3±0.4ms | 46.6±0.9ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False) | | | 47.2±0.7ms | 47.1±0.7ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True) | | | 1.30±0.01s | 1.33±0.01s | 1.03 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False) | | | 1.31±0.02s | 1.32±0.02s | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True) | | | 684±10ms | 686±10ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False) | | | 679±10ms | 693±10ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True) | | | 34.6±0.4ms | 35.0±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False) | | | 35.5±0.3ms | 35.4±0.6ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True) | | | 61.6±0.7ms | 61.7±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False) | | | 62.9±0.8ms | 62.8±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True) | | | 66.2±0.9ms | 65.9±0.9ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False) | | | 67.2±5ms | 66.2±1ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True) | | | 61.6±2ms | 61.7±0.8ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False) | | | 62.5±0.9ms | 61.8±1ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True) | | | 19.8±0.5ms | 19.8±0.7ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | | 23.1±0.4ms | 23.2±0.7ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | | 133±2ms | 130±2ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False) | | | 145±2ms | 143±3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True) | | | 18.0±0.5ms | 18.2±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | | 21.9±0.7ms | 21.6±0.6ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | | 17.9±0.5ms | 17.8±0.3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | | 21.9±0.4ms | 21.9±1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | | 18.6±0.5ms | 18.9±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | | 22.3±0.6ms | 22.5±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | | 34.7±0.9ms | 34.9±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False) | | | 38.3±0.6ms | 38.6±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True) | | | 19.5±2ms | 19.0±0.9ms | 0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | | 23.1±1ms | 22.8±0.6ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | | 18.9±0.8ms | 18.6±0.7ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | | 23.2±1ms | 22.6±0.5ms | 0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | | 19.5±0.6ms | 18.5±0.5ms | 0.95 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | | 22.5±0.5ms | 21.9±0.8ms | 0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | | 553±4ms | 556±3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False) | | | 552±4ms | 556±4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True) | | | 151±2ms | 148±2ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False) | | | 168±2ms | 166±2ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True) | | | 17.8±0.2ms | 17.7±0.4ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | | 21.7±0.5ms | 21.1±0.6ms | 0.97 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | | 21.0±0.4ms | 21.0±0.6ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | | 24.7±0.8ms | 24.4±0.7ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True) | | | 21.2±0.6ms | 20.9±0.8ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | | 24.7±0.4ms | 24.5±0.8ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | | 20.5±0.7ms | 20.3±0.6ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | | 24.0±0.7ms | 23.6±0.7ms | 0.98 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | | | 82.6±0.8ms | 82.7±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False) | | | 83.3±1ms | 84.0±2ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True) | | | 95.0±1ms | 95.2±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False) | | | 94.9±1ms | 95.1±2ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True) | | | 58.0±0.8ms | 58.0±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False) | | | 58.3±0.5ms | 58.5±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True) | | | 28.5±0.6ms | 29.0±0.5ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) | | | 32.5±0.6ms | 32.5±0.5ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True) | | | 31.3±0.3ms | 30.9±0.7ms | 0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False) | | | 34.7±0.5ms | 34.9±0.5ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True) | | | 26.0±0.3ms | 25.9±0.6ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False) | | | 29.5±0.4ms | 29.7±0.5ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True) | | | 325±6ms | 325±4ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False) | | | 341±4ms | 348±7ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True) | | | 1.10±0.01ms | 1.13±0.03ms | 1.02 | cube.CubeCreation.time_create(False, 'construct') | | | 393±4μs | 403±7μs | 1.03 | cube.CubeCreation.time_create(False, 'instantiate') | | | 944±20μs | 966±10μs | 1.02 | cube.CubeCreation.time_create(True, 'construct') | | | 569±6μs | 574±10μs | 1.01 | cube.CubeCreation.time_create(True, 'instantiate') | | | 225±3ms | 222±2ms | 0.98 | cube.CubeEquality.time_equality(False, False, 'all_equal') | | | 112±2ms | 113±3ms | 1.01 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') | | | 233±3ms | 234±4ms | 1 | cube.CubeEquality.time_equality(False, False, 'data_inequality') | | | 16.5±0.2μs | 16.4±0.7μs | 1 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') | | | 306±4ms | 310±6ms | 1.01 | cube.CubeEquality.time_equality(False, True, 'all_equal') | | | 200±3ms | 200±3ms | 1 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') | | | 319±4ms | 319±6ms | 1 | cube.CubeEquality.time_equality(False, True, 'data_inequality') | | | 16.5±0.2μs | 16.5±0.5μs | 1 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') | | | 219±4ms | 222±3ms | 1.01 | cube.CubeEquality.time_equality(True, False, 'all_equal') | | | 113±1ms | 114±2ms | 1 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') | | | 230±3ms | 231±3ms | 1 | cube.CubeEquality.time_equality(True, False, 'data_inequality') | | | 52.6±0.6μs | 53.4±3μs | 1.02 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') | | | 305±2ms | 308±7ms | 1.01 | cube.CubeEquality.time_equality(True, True, 'all_equal') | | | 198±2ms | 201±4ms | 1.02 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') | | | 316±4ms | 322±8ms | 1.02 | cube.CubeEquality.time_equality(True, True, 'data_inequality') | | | 54.2±0.7μs | 55.3±2μs | 1.02 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') | | | 410±0.6ns | 408±10ns | 0.99 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) | | | 278±2ms | 279±3ms | 1 | 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) | | | 14.3±0.2ms | 14.5±0.4ms | 1.01 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) | | | 16.1±0.5ms | 16.3±0.4ms | 1.01 | 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) | | | 106±2ms | 106±2ms | 1 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) | | | 719±4ms | 717±4ms | 1 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) | | | 1.4 | 1.4 | 1 | 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) | | | 66.4±1ms | 66.5±1ms | 1 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(50) | | | 673±6ms | 673±4ms | 1 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(500) | | | 1.3 | 1.3 | 1 | 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) | | | 657±6μs | 662±20μs | 1.01 | import_iris.Iris.time__concatenate | | | 179±2μs | 182±5μs | 1.02 | import_iris.Iris.time__constraints | | | 114±5μs | 113±0.7μs | 0.99 | import_iris.Iris.time__data_manager | | | 92.5±0.5μs | 95.7±2μs | 1.03 | import_iris.Iris.time__deprecation | | | 137±2μs | 138±2μs | 1.01 | import_iris.Iris.time__lazy_data | | | 897±9μs | 922±20μs | 1.03 | import_iris.Iris.time__merge | | | 76.6±1μs | 78.0±2μs | 1.02 | import_iris.Iris.time__representation | | | 482±3μs | 498±10μs | 1.03 | import_iris.Iris.time_analysis | | | 138±1μs | 142±3μs | 1.03 | import_iris.Iris.time_analysis__area_weighted | | | 107±0.8μs | 109±2μs | 1.01 | import_iris.Iris.time_analysis__grid_angles | | | 239±4μs | 252±8μs | 1.06 | import_iris.Iris.time_analysis__interpolation | | | 186±2μs | 187±6μs | 1.01 | import_iris.Iris.time_analysis__regrid | | | 111±0.5μs | 112±1μs | 1.01 | import_iris.Iris.time_analysis__scipy_interpolate | | | 138±1μs | 141±3μs | 1.02 | import_iris.Iris.time_analysis_calculus | | | 328±2μs | 337±7μs | 1.03 | import_iris.Iris.time_analysis_cartography | | | 94.1±1μs | 94.2±0.7μs | 1 | import_iris.Iris.time_analysis_geomerty | | | 218±2μs | 220±6μs | 1.01 | import_iris.Iris.time_analysis_maths | | | 97.0±0.5μs | 97.1±1μs | 1 | import_iris.Iris.time_analysis_stats | | | 173±1μs | 172±4μs | 1 | import_iris.Iris.time_analysis_trajectory | | | 303±5μs | 304±7μs | 1 | import_iris.Iris.time_aux_factory | | | 83.0±0.5μs | 84.8±1μs | 1.02 | import_iris.Iris.time_common | | | 159±2μs | 168±5μs | 1.05 | import_iris.Iris.time_common_lenient | | | 986±7μs | 1.01±0.01ms | 1.02 | import_iris.Iris.time_common_metadata | | | 132±1μs | 136±2μs | 1.03 | import_iris.Iris.time_common_mixin | | | 1.17±0ms | 1.19±0.01ms | 1.02 | import_iris.Iris.time_common_resolve | | | 198±3μs | 201±3μs | 1.02 | import_iris.Iris.time_config | | | 115±0.8μs | 118±2μs | 1.03 | import_iris.Iris.time_coord_categorisation | | | 361±6μs | 366±5μs | 1.01 | import_iris.Iris.time_coord_systems | | | 740±10μs | 751±10μs | 1.01 | import_iris.Iris.time_coords | | | 664±10μs | 671±20μs | 1.01 | import_iris.Iris.time_cube | | | 225±3μs | 224±7μs | 1 | import_iris.Iris.time_exceptions | | | 77.3±0.5μs | 78.2±1μs | 1.01 | import_iris.Iris.time_experimental | | | 186±2μs | 191±4μs | 1.03 | import_iris.Iris.time_fileformats | | | 250±1μs | 254±4μs | 1.01 | import_iris.Iris.time_fileformats__ff | | | 2.70±0.02ms | 2.85±0.2ms | 1.06 | import_iris.Iris.time_fileformats__ff_cross_references | | | 78.1±0.9μs | 78.9±1μs | 1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs | | | 114±0.6μs | 115±3μs | 1.01 | import_iris.Iris.time_fileformats_abf | | | 360±4μs | 359±4μs | 1 | import_iris.Iris.time_fileformats_cf | | | 5.35±0.05ms | 5.33±0.03ms | 1 | import_iris.Iris.time_fileformats_dot | | | 73.8±0.5μs | 75.3±1μs | 1.02 | import_iris.Iris.time_fileformats_name | | | 255±2μs | 259±2μs | 1.01 | import_iris.Iris.time_fileformats_name_loaders | | | 117±0.9μs | 120±3μs | 1.03 | import_iris.Iris.time_fileformats_netcdf | | | 121±0.6μs | 123±1μs | 1.02 | import_iris.Iris.time_fileformats_nimrod | | | 215±3μs | 214±3μs | 1 | import_iris.Iris.time_fileformats_nimrod_load_rules | | | 778±5μs | 796±10μs | 1.02 | import_iris.Iris.time_fileformats_pp | | | 183±3μs | 186±3μs | 1.02 | import_iris.Iris.time_fileformats_pp_load_rules | | | 133±1μs | 136±3μs | 1.02 | import_iris.Iris.time_fileformats_pp_save_rules | | | 510±3μs | 526±20μs | 1.03 | import_iris.Iris.time_fileformats_rules | | | 218±2μs | 223±3μs | 1.02 | import_iris.Iris.time_fileformats_structured_array_identification | | | 82.1±0.6μs | 85.8±1μs | 1.05 | import_iris.Iris.time_fileformats_um | | | 159±2μs | 161±2μs | 1.01 | import_iris.Iris.time_fileformats_um__fast_load | | | 135±1μs | 139±1μs | 1.02 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields | | | 76.3±1μs | 76.3±1μs | 1 | import_iris.Iris.time_fileformats_um__ff_replacement | | | 80.7±0.3μs | 82.1±1μs | 1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring | | | 984±20μs | 1.03±0.05ms | 1.05 | import_iris.Iris.time_fileformats_um_cf_map | | | 138±3μs | 141±2μs | 1.02 | import_iris.Iris.time_io | | | 171±1μs | 173±3μs | 1.01 | import_iris.Iris.time_io_format_picker | | | 228±5μs | 232±4μs | 1.02 | import_iris.Iris.time_iris | | | 127±1μs | 128±2μs | 1.01 | import_iris.Iris.time_iterate | | | 8.38±0.06ms | 8.61±0.1ms | 1.03 | import_iris.Iris.time_palette | | | 2.23±0.04ms | 2.27±0.04ms | 1.02 | import_iris.Iris.time_plot | | | 103±0.6μs | 104±2μs | 1.01 | import_iris.Iris.time_quickplot | | | 2.17±0.02ms | 2.24±0.07ms | 1.03 | import_iris.Iris.time_std_names | | | 1.79±0.03ms | 1.79±0.02ms | 1 | import_iris.Iris.time_symbols | | | 103±5ms | 103±2ms | 1 | import_iris.Iris.time_tests | | | 256±10μs | 254±5μs | 0.99 | import_iris.Iris.time_third_party_cartopy | | | 4.80±0.02ms | 4.80±0.02ms | 1 | import_iris.Iris.time_third_party_cf_units | | | 117±2μs | 119±2μs | 1.02 | import_iris.Iris.time_third_party_cftime | | | 2.77±0.01ms | 2.80±0.03ms | 1.01 | import_iris.Iris.time_third_party_matplotlib | | | 1.07±0ms | 1.10±0.02ms | 1.02 | import_iris.Iris.time_third_party_numpy | | | 168±0.9μs | 169±4μs | 1.01 | import_iris.Iris.time_third_party_scipy | | | 98.3±0.4μs | 99.3±1μs | 1.01 | import_iris.Iris.time_time | | | 322±7μs | 321±7μs | 1 | import_iris.Iris.time_util | | | 71.3±0.9μs | 73.2±1μs | 1.03 | iterate.IZip.time_izip | | | 8.05±0.1ms | 8.25±0.1ms | 1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') | | | 23.4±0.4ms | 24.0±1ms | 1.03 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | | 8.80±0.05ms | 8.89±0.1ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') | | | 7.95±0.08ms | 8.17±0.3ms | 1.03 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') | | | 21.0±0.2ms | 21.0±0.8ms | 1 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | | 8.76±0.1ms | 8.84±0.1ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') | | | 1.33±0.01s | 1.35±0.03s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') | | | 20.6±0.1ms | 20.4±0.4ms | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | | 1.49±0.02s | 1.49±0.03s | 1 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') | | | 1.35±0.01s | 1.35±0.03s | 1 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') | | | 20.6±0.09ms | 20.5±0.4ms | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | | 1.49±0.01s | 1.50±0.03s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') | | | 3.86±0.03ms | 3.93±0.1ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') | | | 19.5±0.1ms | 19.5±0.5ms | 1 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | | 4.16±0.04ms | 4.22±0.07ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') | | | 3.85±0.03ms | 3.91±0.08ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') | | | 19.8±0.3ms | 20.0±0.8ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | | 4.13±0.03ms | 4.20±0.05ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') | | | 30.6±1ms | 30.3±1ms | 0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') | | | 18.9±0.4ms | 18.7±0.6ms | 0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') | | | 11.9±2ms | 13.3±3ms | 1.11 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') | | | 25.7±2ms | 25.6±2ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') | | | 69.9±2ms | 70.1±2ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') | | | 25.6±0.9ms | 25.9±2ms | 1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') | | | 437±2ms | 440±10ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') | | | 2.76±0.06ms | 2.86±0.1ms | 1.04 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') | | | 446±3ms | 445±20ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') | | | 443±3ms | 448±10ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') | | | 2.81±0.07ms | 2.89±0.1ms | 1.03 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') | | | 450±4ms | 453±8ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') | | | 1.59±0.06ms | 1.52±0.08ms | 0.95 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') | | | 2.73±0.07ms | 2.84±0.09ms | 1.04 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') | | | 1.57±0.08ms | 1.56±0.09ms | 1 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') | | | 1.54±0.08ms | 1.58±0.1ms | 1.03 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') | | | 2.86±0.1ms | 2.84±0.06ms | 0.99 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') | | | 1.54±0.1ms | 1.55±0.05ms | 1 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') | | | 355±3ms | 359±10ms | 1.01 | load.ManyVars.time_many_var_load | | | 8.08±0.07ms | 8.26±0.1ms | 1.02 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') | | | 8.91±0.05ms | 9.18±0.2ms | 1.03 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') | | | 1.35±0.02s | 1.37±0.03s | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') | | | 1.52±0.02s | 1.53±0.02s | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') | | | 3.94±0.03ms | 3.95±0.05ms | 1 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') | | | 4.24±0.04ms | 4.23±0.09ms | 1 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') | | | 8.00±0.03ms | 8.33±0.2ms | 1.04 | load.StructuredFF.time_structured_load((1280, 960, 5), False) | | | 4.71±0.03ms | 4.77±0.1ms | 1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), True) | | | 1.34±0.02s | 1.33±0.03s | 0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), False) | | | 360±3ms | 364±8ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True) | | | 3.88±0.03ms | 3.90±0.08ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 2), False) | | | 3.52±0.02ms | 3.57±0.05ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 2), True) | | | 143±2ms | 145±2ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'FF') | | | 22.8±0.3ms | 22.8±0.4ms | 1 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | | 159±1ms | 161±6ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'PP') | | | 28.6±0.2ms | 29.0±0.4ms | 1.01 | load.TimeConstraint.time_time_constraint(3, 'FF') | | | 22.7±0.1ms | 22.6±0.4ms | 0.99 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | | | 30.9±0.1ms | 31.0±1ms | 1 | load.TimeConstraint.time_time_constraint(3, 'PP') | | | 17.2±0.4ms | 17.4±0.5ms | 1.01 | load.ugrid.BasicLoading.time_load_file(1) | | | 40.3±0.8ms | 41.1±0.8ms | 1.02 | load.ugrid.BasicLoading.time_load_file(200000) | | | 14.0±0.4ms | 14.4±0.8ms | 1.02 | load.ugrid.BasicLoading.time_load_mesh(1) | | | 21.3±0.6ms | 22.4±1ms | 1.05 | load.ugrid.BasicLoading.time_load_mesh(200000) | | | 17.2±0.4ms | 17.6±0.8ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_file(1) | | | 20.4±0.3ms | 20.0±0.9ms | 0.98 | load.ugrid.BasicLoadingTime.time_load_file(200000) | | | 14.1±0.4ms | 14.4±0.7ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_mesh(1) | | | 16.8±0.4ms | 16.7±0.7ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) | | | 18.4±0.3ms | 18.4±0.6ms | 1 | load.ugrid.Callback.time_load_file_callback(1) | | | 49.5±1ms | 49.5±0.7ms | 1 | load.ugrid.Callback.time_load_file_callback(200000) | | | 18.1±0.3ms | 18.3±0.5ms | 1.01 | load.ugrid.CallbackTime.time_load_file_callback(1) | | | 21.7±0.5ms | 21.8±1ms | 1.01 | load.ugrid.CallbackTime.time_load_file_callback(200000) | | | 2.81±0.2ms | 2.68±0.06ms | 0.96 | load.ugrid.DataRealisation.time_realise_data(10000) | | | 5.35±0.2ms | 5.32±0.9ms | 0.99 | load.ugrid.DataRealisation.time_realise_data(200000) | | | 38.2±2ms | 36.7±0.6ms | 0.96 | load.ugrid.DataRealisationTime.time_realise_data(10000) | | | 784±7ms | 792±5ms | 1.01 | load.ugrid.DataRealisationTime.time_realise_data(200000) | | | 130±1ms | 133±3ms | 1.02 | merge_concat.Concatenate.time_concatenate | | | 24.1 | 24.0 | 1 | merge_concat.Concatenate.track_mem_merge | | | 47.2±0.3ms | 48.3±1ms | 1.02 | merge_concat.Merge.time_merge | | | 10.9 | 10.9 | 1 | merge_concat.Merge.track_mem_merge | | | 6.53±0.05ms | 6.64±0.07ms | 1.02 | plot.AuxSort.time_aux_sort | | | 73.5±5ms | 78.6±3ms | 1.07 | regridding.CurvilinearRegridding.time_regrid_pic | | | 144.8 | 144.8 | 1 | regridding.CurvilinearRegridding.track_mem_regrid_pic | | | 97.6±0.6ms | 98.8±0.9ms | 1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w | | | 48.4±2ms | 49.7±2ms | 1.03 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid | | | 111.5 | 111.6 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w | | | 150.6 | 150.6 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w_new_grid | | | 4.00±0.06ms | 4.07±0.1ms | 1.02 | save.NetcdfSave.time_netcdf_save_cube(50, False) | | | 70.3±0.4ms | 71.2±2ms | 1.01 | save.NetcdfSave.time_netcdf_save_cube(50, True) | | | 52.7±2ms | 51.1±0.4ms | 0.97 | save.NetcdfSave.time_netcdf_save_cube(600, False) | | | 560±4ms | 561±6ms | 1 | save.NetcdfSave.time_netcdf_save_cube(600, True) | | | 90.5±0.6ns | 91.3±2ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, False) | | | 54.3±0.5ms | 54.5±0.7ms | 1 | save.NetcdfSave.time_netcdf_save_mesh(50, True) | | | 90.7±1ns | 93.0±2ns | 1.03 | save.NetcdfSave.time_netcdf_save_mesh(600, False) | | | 492±5ms | 493±4ms | 1 | 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) | | | 231.1 | 231.1 | 1 | save.NetcdfSave.track_addedmem_netcdf_save(600, True) | | | 42.1±1ms | 42.4±2ms | 1.01 | stats.PearsonR.time_lazy | | | 18.7±0.3ms | 18.8±0.3ms | 1 | stats.PearsonR.time_real | | | 19.5 | 19.5 | 1 | stats.PearsonR.track_lazy | | | 17.8 | 17.8 | 1 | stats.PearsonR.track_real | | | 22.7±0.6ms | 23.0±0.6ms | 1.01 | trajectory.TrajectoryInterpolation.time_trajectory_linear | | | 60.2±0.3ms | 59.7±1ms | 0.99 | trajectory.TrajectoryInterpolation.time_trajectory_nearest | | | 32.2 | 32.1 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_linear | | | 21.6 | 21.6 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_nearest | Benchmarks that have got worse: | Change | Before [b8571748] <main~1> | After [d3ec6174] <main> | Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------------|---------|------------------------------------------------------| | + | 1.7 | 2.1 | 1.24 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) |
Generated by GHA run 9814430614
9814430614
The text was updated successfully, but these errors were encountered:
Noise I think
Sorry, something went wrong.
pp-mo
No branches or pull requests
Benchmark comparison has identified performance shifts at:
Please review the report below and take corrective/congratulatory action as appropriate :slightly_smiling_face:
⏱️ Performance Benchmark Report: d3ec617
Performance shifts
Full benchmark results
Generated by GHA run
9814430614
The text was updated successfully, but these errors were encountered: