search

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
626 stars 283 forks source link

Performance Shift(s): `dd717405` #6115

Open github-actions[bot] opened 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: dd717405

Performance shifts ``` | Change | Before [5c18504e] | After [dd717405] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|------------------------------------------------------| | + | 3.56±0.9ms | 5.39±0.04ms | 1.51 | load.ugrid.DataRealisation.time_realise_data(200000) | ```
Full benchmark results ``` Benchmarks that have stayed the same: | Change | Before [5c18504e] | After [dd717405] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|------------------------------------------------------------------------------------------------| | | 52.8±0.4ms | 53.2±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False) | | | 53.1±0.4ms | 53.6±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True) | | | 188±1ms | 187±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False) | | | 188±2ms | 189±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True) | | | 35.9±0.4ms | 36.5±0.4ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False) | | | 36.8±0.2ms | 37.0±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True) | | | 36.1±0.1ms | 36.4±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False) | | | 36.6±0.3ms | 37.5±0.4ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True) | | | 45.7±0.5ms | 45.9±0.7ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False) | | | 46.8±0.5ms | 46.7±0.5ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True) | | | 119±1ms | 121±1ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False) | | | 120±1ms | 120±1ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True) | | | 50.4±0.6ms | 50.6±0.4ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False) | | | 50.9±0.3ms | 51.2±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True) | | | 36.1±0.3ms | 35.8±0.2ms | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False) | | | 36.4±0.3ms | 36.7±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True) | | | 46.1±0.5ms | 45.9±0.4ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False) | | | 46.4±0.6ms | 46.7±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True) | | | 1.32±0.02s | 1.33±0.01s | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False) | | | 1.33±0.03s | 1.31±0.01s | 0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True) | | | 664±10ms | 673±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False) | | | 668±10ms | 668±10ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True) | | | 34.3±0.3ms | 34.3±0.3ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False) | | | 34.8±0.5ms | 35.2±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True) | | | 61.0±0.4ms | 61.3±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False) | | | 61.7±0.4ms | 61.5±0.3ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True) | | | 65.0±0.9ms | 65.7±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False) | | | 65.3±0.6ms | 65.9±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True) | | | 60.2±0.7ms | 60.2±0.7ms | 1 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False) | | | 61.0±0.8ms | 61.3±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True) | | | 19.1±0.1ms | 19.3±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | | 22.7±0.3ms | 22.8±0.2ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | | 129±0.8ms | 129±1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False) | | | 143±1ms | 143±1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True) | | | 17.5±0.3ms | 17.6±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | | 21.1±0.3ms | 21.3±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | | 17.5±0.2ms | 17.5±0.1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | | 21.2±0.2ms | 21.2±0.1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | | 18.0±0.2ms | 18.2±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | | 21.7±0.2ms | 21.8±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | | 33.6±1ms | 34.3±0.5ms | 1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False) | | | 37.5±1ms | 37.4±1ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True) | | | 18.5±0.7ms | 18.7±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | | 22.0±0.3ms | 22.2±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | | 18.2±0.7ms | 18.3±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | | 21.7±0.1ms | 21.8±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | | 18.0±0.2ms | 18.2±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | | 21.6±0.3ms | 21.9±0.5ms | 1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | | 547±6ms | 555±5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False) | | | 555±5ms | 553±5ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True) | | | 147±2ms | 148±2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False) | | | 164±1ms | 165±1ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True) | | | 17.2±0.1ms | 17.4±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | | 20.9±0.3ms | 20.9±0.3ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | | 20.4±0.2ms | 20.5±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | | 24.1±0.2ms | 24.0±0.3ms | 0.99 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True) | | | 20.6±0.2ms | 20.6±0.2ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | | 24.4±0.3ms | 24.4±0.2ms | 1 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | | 19.9±0.3ms | 20.0±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | | 23.6±0.3ms | 23.8±0.4ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | | | 82.2±1ms | 82.6±0.9ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False) | | | 83.0±1ms | 82.8±1ms | 1 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True) | | | 93.5±0.6ms | 94.8±0.5ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False) | | | 93.9±0.6ms | 95.7±1ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True) | | | 57.4±0.5ms | 57.9±0.6ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False) | | | 57.9±0.5ms | 58.5±0.4ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True) | | | 28.5±0.5ms | 28.6±0.4ms | 1 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) | | | 31.8±0.5ms | 32.5±0.5ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True) | | | 30.1±0.4ms | 30.9±0.4ms | 1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False) | | | 33.8±0.3ms | 34.3±0.3ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True) | | | 25.0±0.2ms | 25.3±0.2ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False) | | | 28.6±0.3ms | 29.1±0.3ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True) | | | 317±6ms | 323±4ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False) | | | 341±4ms | 347±5ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True) | | | 1.12±0.01ms | 1.12±0.01ms | 1.01 | cube.CubeCreation.time_create(False, 'construct') | | | 401±4μs | 405±6μs | 1.01 | cube.CubeCreation.time_create(False, 'instantiate') | | | 942±7μs | 967±10μs | 1.03 | cube.CubeCreation.time_create(True, 'construct') | | | 572±3μs | 578±8μs | 1.01 | cube.CubeCreation.time_create(True, 'instantiate') | | | 217±3ms | 221±3ms | 1.02 | cube.CubeEquality.time_equality(False, False, 'all_equal') | | | 111±0.9ms | 111±0.8ms | 1 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') | | | 229±4ms | 230±3ms | 1.01 | cube.CubeEquality.time_equality(False, False, 'data_inequality') | | | 16.2±0.1μs | 16.6±0.2μs | 1.02 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') | | | 300±3ms | 302±3ms | 1.01 | cube.CubeEquality.time_equality(False, True, 'all_equal') | | | 197±2ms | 197±2ms | 1 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') | | | 312±2ms | 310±3ms | 0.99 | cube.CubeEquality.time_equality(False, True, 'data_inequality') | | | 16.6±0.3μs | 17.1±0.3μs | 1.03 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') | | | 219±2ms | 218±2ms | 1 | cube.CubeEquality.time_equality(True, False, 'all_equal') | | | 111±0.9ms | 112±1ms | 1.01 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') | | | 228±1ms | 228±3ms | 1 | cube.CubeEquality.time_equality(True, False, 'data_inequality') | | | 52.8±0.3μs | 53.4±0.7μs | 1.01 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') | | | 303±3ms | 301±4ms | 0.99 | cube.CubeEquality.time_equality(True, True, 'all_equal') | | | 197±2ms | 196±2ms | 0.99 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') | | | 315±3ms | 314±3ms | 1 | cube.CubeEquality.time_equality(True, True, 'data_inequality') | | | 54.0±0.5μs | 55.7±0.8μs | 1.03 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') | | | 657±9μs | 659±6μs | 1 | import_iris.Iris.time__concatenate | | | 178±2μs | 181±3μs | 1.02 | import_iris.Iris.time__constraints | | | 109±1μs | 110±1μs | 1.01 | import_iris.Iris.time__data_manager | | | 93.8±0.9μs | 94.5±0.7μs | 1.01 | import_iris.Iris.time__deprecation | | | 134±2μs | 138±1μs | 1.03 | import_iris.Iris.time__lazy_data | | | 896±9μs | 910±10μs | 1.02 | import_iris.Iris.time__merge | | | 76.3±0.3μs | 76.4±0.5μs | 1 | import_iris.Iris.time__representation | | | 482±3μs | 488±6μs | 1.01 | import_iris.Iris.time_analysis | | | 140±1μs | 142±2μs | 1.01 | import_iris.Iris.time_analysis__area_weighted | | | 110±0.7μs | 109±2μs | 0.99 | import_iris.Iris.time_analysis__grid_angles | | | 239±1μs | 242±2μs | 1.01 | import_iris.Iris.time_analysis__interpolation | | | 186±2μs | 187±2μs | 1 | import_iris.Iris.time_analysis__regrid | | | 111±1μs | 112±0.4μs | 1.01 | import_iris.Iris.time_analysis__scipy_interpolate | | | 138±0.8μs | 141±1μs | 1.02 | import_iris.Iris.time_analysis_calculus | | | 326±9μs | 326±4μs | 1 | import_iris.Iris.time_analysis_cartography | | | 94.9±0.8μs | 95.5±1μs | 1.01 | import_iris.Iris.time_analysis_geomerty | | | 215±2μs | 218±2μs | 1.01 | import_iris.Iris.time_analysis_maths | | | 96.9±0.5μs | 98.8±1μs | 1.02 | import_iris.Iris.time_analysis_stats | | | 173±3μs | 176±2μs | 1.02 | import_iris.Iris.time_analysis_trajectory | | | 307±4μs | 308±4μs | 1 | import_iris.Iris.time_aux_factory | | | 83.7±1μs | 84.3±0.6μs | 1.01 | import_iris.Iris.time_common | | | 163±2μs | 163±4μs | 1 | import_iris.Iris.time_common_lenient | | | 1.32±0.02ms | 1.33±0.02ms | 1.01 | import_iris.Iris.time_common_metadata | | | 133±1μs | 133±2μs | 1 | import_iris.Iris.time_common_mixin | | | 1.19±0.01ms | 1.18±0.01ms | 0.99 | import_iris.Iris.time_common_resolve | | | 198±3μs | 199±3μs | 1.01 | import_iris.Iris.time_config | | | 117±0.8μs | 118±0.7μs | 1 | import_iris.Iris.time_coord_categorisation | | | 363±5μs | 364±6μs | 1 | import_iris.Iris.time_coord_systems | | | 747±6μs | 748±9μs | 1 | import_iris.Iris.time_coords | | | 669±9μs | 667±2μs | 1 | import_iris.Iris.time_cube | | | 225±3μs | 227±3μs | 1.01 | import_iris.Iris.time_exceptions | | | 76.3±0.3μs | 77.6±0.8μs | 1.02 | import_iris.Iris.time_experimental | | | 185±2μs | 186±3μs | 1.01 | import_iris.Iris.time_fileformats | | | 252±3μs | 253±2μs | 1 | import_iris.Iris.time_fileformats__ff | | | 2.70±0.01ms | 2.70±0.02ms | 1 | import_iris.Iris.time_fileformats__ff_cross_references | | | 78.6±0.4μs | 80.0±0.7μs | 1.02 | import_iris.Iris.time_fileformats__pp_lbproc_pairs | | | 114±0.8μs | 115±0.7μs | 1.01 | import_iris.Iris.time_fileformats_abf | | | 408±4μs | 409±3μs | 1 | import_iris.Iris.time_fileformats_cf | | | 5.37±0.06ms | 5.31±0.06ms | 0.99 | import_iris.Iris.time_fileformats_dot | | | 74.4±0.5μs | 74.8±0.2μs | 1.01 | import_iris.Iris.time_fileformats_name | | | 255±2μs | 258±3μs | 1.01 | import_iris.Iris.time_fileformats_name_loaders | | | 118±1μs | 120±0.9μs | 1.02 | import_iris.Iris.time_fileformats_netcdf | | | 122±2μs | 124±2μs | 1.02 | import_iris.Iris.time_fileformats_nimrod | | | 214±1μs | 216±3μs | 1.01 | import_iris.Iris.time_fileformats_nimrod_load_rules | | | 782±8μs | 782±7μs | 1 | import_iris.Iris.time_fileformats_pp | | | 182±1μs | 187±4μs | 1.02 | import_iris.Iris.time_fileformats_pp_load_rules | | | 137±1μs | 135±0.8μs | 0.98 | import_iris.Iris.time_fileformats_pp_save_rules | | | 512±4μs | 520±10μs | 1.02 | import_iris.Iris.time_fileformats_rules | | | 217±2μs | 220±2μs | 1.01 | import_iris.Iris.time_fileformats_structured_array_identification | | | 83.2±0.6μs | 84.0±0.5μs | 1.01 | import_iris.Iris.time_fileformats_um | | | 161±2μs | 162±0.6μs | 1.01 | import_iris.Iris.time_fileformats_um__fast_load | | | 137±1μs | 139±1μs | 1.02 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields | | | 76.0±0.5μs | 77.2±0.7μs | 1.02 | import_iris.Iris.time_fileformats_um__ff_replacement | | | 82.1±0.8μs | 82.5±0.4μs | 1.01 | import_iris.Iris.time_fileformats_um__optimal_array_structuring | | | 986±20μs | 988±6μs | 1 | import_iris.Iris.time_fileformats_um_cf_map | | | 136±1μs | 137±1μs | 1.01 | import_iris.Iris.time_io | | | 172±2μs | 174±2μs | 1.01 | import_iris.Iris.time_io_format_picker | | | 230±3μs | 233±3μs | 1.01 | import_iris.Iris.time_iris | | | 127±1μs | 127±0.6μs | 1 | import_iris.Iris.time_iterate | | | 8.39±0.02ms | 8.43±0.06ms | 1 | import_iris.Iris.time_palette | | | 2.24±0.04ms | 2.23±0.04ms | 1 | import_iris.Iris.time_plot | | | 103±3μs | 105±1μs | 1.02 | import_iris.Iris.time_quickplot | | | 2.19±0.01ms | 2.20±0.01ms | 1 | import_iris.Iris.time_std_names | | | 1.74±0.01ms | 1.78±0.02ms | 1.02 | import_iris.Iris.time_symbols | | | 99.3±0.6ms | 99.1±1ms | 1 | import_iris.Iris.time_tests | | | 253±2μs | 260±3μs | 1.03 | import_iris.Iris.time_third_party_cartopy | | | 4.79±0.03ms | 4.77±0.02ms | 1 | import_iris.Iris.time_third_party_cf_units | | | 118±1μs | 120±0.6μs | 1.01 | import_iris.Iris.time_third_party_cftime | | | 2.78±0.01ms | 2.79±0.01ms | 1 | import_iris.Iris.time_third_party_matplotlib | | | 1.06±0.01ms | 1.06±0ms | 1 | import_iris.Iris.time_third_party_numpy | | | 170±1μs | 172±2μs | 1.01 | import_iris.Iris.time_third_party_scipy | | | 99.8±1μs | 101±1μs | 1.01 | import_iris.Iris.time_time | | | 320±6μs | 324±5μs | 1.01 | import_iris.Iris.time_util | | | 74.7±1μs | 74.5±2μs | 1 | iterate.IZip.time_izip | | | 8.04±0.06ms | 8.10±0.08ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') | | | 24.0±0.4ms | 23.6±0.2ms | 0.98 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | | 8.81±0.1ms | 8.88±0.04ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') | | | 7.97±0.06ms | 8.05±0.05ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') | | | 21.9±0.3ms | 21.5±0.2ms | 0.98 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | | 8.74±0.1ms | 8.90±0.06ms | 1.02 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') | | | 1.32±0.01s | 1.33±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') | | | 21.1±0.1ms | 21.2±0.2ms | 1 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | | 1.46±0.01s | 1.49±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') | | | 1.32±0.01s | 1.33±0.01s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') | | | 21.2±0.5ms | 21.4±0.2ms | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | | 1.47±0.01s | 1.49±0.02s | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') | | | 3.92±0.01ms | 3.94±0.03ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') | | | 20.2±0.2ms | 20.1±0.2ms | 1 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | | 4.16±0.02ms | 4.22±0.04ms | 1.02 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') | | | 3.91±0.03ms | 3.91±0.02ms | 1 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') | | | 20.1±0.3ms | 20.0±0.1ms | 0.99 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | | 4.15±0.02ms | 4.18±0.02ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') | | | 31.0±3ms | 36.1±3ms | 1.16 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') | | | 18.7±0.2ms | 18.7±0.5ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') | | | 12.4±1ms | 12.4±2ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') | | | 25.2±1ms | 25.2±1ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') | | | 69.9±2ms | 69.9±2ms | 1 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') | | | 26.6±2ms | 25.3±0.8ms | 0.95 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') | | | 429±2ms | 431±2ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') | | | 2.77±0.1ms | 2.77±0.07ms | 1 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') | | | 433±2ms | 435±3ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') | | | 433±2ms | 437±2ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') | | | 2.83±0.1ms | 2.79±0.04ms | 0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') | | | 439±3ms | 442±3ms | 1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') | | | 1.56±0.08ms | 1.54±0.1ms | 0.98 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') | | | 2.71±0.05ms | 2.77±0.07ms | 1.02 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') | | | 1.56±0.08ms | 1.55±0.06ms | 0.99 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') | | | 1.53±0.07ms | 1.53±0.05ms | 1 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') | | | 2.84±0.07ms | 2.79±0.08ms | 0.98 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') | | | 1.57±0.07ms | 1.58±0.1ms | 1 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') | | | 363±3ms | 364±4ms | 1 | load.ManyVars.time_many_var_load | | | 8.17±0.05ms | 8.24±0.05ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') | | | 8.92±0.04ms | 9.16±0.07ms | 1.03 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') | | | 1.32±0.01s | 1.35±0.01s | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') | | | 1.50±0.01s | 1.53±0.01s | 1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') | | | 3.96±0.03ms | 3.99±0.01ms | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') | | | 4.26±0.02ms | 4.26±0.04ms | 1 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') | | | 8.00±0.04ms | 8.10±0.08ms | 1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), False) | | | 4.77±0.03ms | 4.78±0.02ms | 1 | load.StructuredFF.time_structured_load((1280, 960, 5), True) | | | 1.31±0.01s | 1.33±0.01s | 1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), False) | | | 365±7ms | 362±4ms | 0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), True) | | | 3.90±0.04ms | 3.88±0.03ms | 0.99 | load.StructuredFF.time_structured_load((2, 2, 2), False) | | | 3.51±0.01ms | 3.56±0.02ms | 1.02 | load.StructuredFF.time_structured_load((2, 2, 2), True) | | | 147±2ms | 147±2ms | 1 | load.TimeConstraint.time_time_constraint(20, 'FF') | | | 23.3±0.2ms | 23.5±0.3ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | | 160±2ms | 164±1ms | 1.02 | load.TimeConstraint.time_time_constraint(20, 'PP') | | | 29.2±0.2ms | 29.8±0.4ms | 1.02 | load.TimeConstraint.time_time_constraint(3, 'FF') | | | 23.2±0.2ms | 23.7±0.3ms | 1.02 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | | | 31.6±0.2ms | 31.7±0.09ms | 1 | load.TimeConstraint.time_time_constraint(3, 'PP') | | | 17.6±0.2ms | 17.5±0.1ms | 0.99 | load.ugrid.BasicLoading.time_load_file(1) | | | 40.8±0.6ms | 40.9±0.3ms | 1 | load.ugrid.BasicLoading.time_load_file(200000) | | | 14.4±0.2ms | 14.3±0.4ms | 0.99 | load.ugrid.BasicLoading.time_load_mesh(1) | | | 22.2±0.4ms | 22.2±0.2ms | 1 | load.ugrid.BasicLoading.time_load_mesh(200000) | | | 17.7±0.2ms | 17.5±0.3ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_file(1) | | | 20.5±0.5ms | 19.8±0.3ms | 0.97 | load.ugrid.BasicLoadingTime.time_load_file(200000) | | | 14.4±0.2ms | 14.4±0.3ms | 1 | load.ugrid.BasicLoadingTime.time_load_mesh(1) | | | 16.9±0.5ms | 16.8±0.3ms | 1 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) | | | 18.5±0.3ms | 18.4±0.1ms | 0.99 | load.ugrid.Callback.time_load_file_callback(1) | | | 49.7±0.4ms | 49.4±0.7ms | 0.99 | load.ugrid.Callback.time_load_file_callback(200000) | | | 18.8±0.4ms | 18.4±0.3ms | 0.98 | load.ugrid.CallbackTime.time_load_file_callback(1) | | | 21.5±0.3ms | 21.6±0.2ms | 1 | load.ugrid.CallbackTime.time_load_file_callback(200000) | | | 2.69±0.07ms | 2.64±0.03ms | 0.98 | load.ugrid.DataRealisation.time_realise_data(10000) | | | 35.3±0.4ms | 35.5±0.5ms | 1.01 | load.ugrid.DataRealisationTime.time_realise_data(10000) | | | 778±6ms | 784±6ms | 1.01 | load.ugrid.DataRealisationTime.time_realise_data(200000) | | | 117±1ms | 118±1ms | 1 | merge_concat.Concatenate.time_concatenate | | | 24.1 | 24.1 | 1 | merge_concat.Concatenate.track_mem_merge | | | 46.8±0.3ms | 46.8±0.2ms | 1 | merge_concat.Merge.time_merge | | | 10.9 | 10.9 | 1 | merge_concat.Merge.track_mem_merge | | | 389±3ns | 391±5ns | 1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) | | | 255±2ms | 258±5ms | 1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500) | | | 0.6 | 0.6 | 1 | mesh.utils.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(50) | | | 57.3 | 57.3 | 1 | mesh.utils.regions_combine.CombineRegionsComputeRealData.track_addedmem_compute_data(500) | | | 14.0±0.1ms | 14.3±0.1ms | 1.02 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) | | | 16.0±0.4ms | 15.8±0.2ms | 0.99 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500) | | | 0.5 | 0.5 | 1 | mesh.utils.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(50) | | | 11.8 | 11.8 | 1 | mesh.utils.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(500) | | | 104±0.2ms | 105±1ms | 1.01 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) | | | 688±6ms | 698±8ms | 1.01 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) | | | 1.4 | 1.4 | 1 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(50) | | | 92.0 | 92.0 | 1 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.track_addedmem_stream_file2file(500) | | | 65.0±0.6ms | 64.9±0.9ms | 1 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50) | | | 647±3ms | 647±7ms | 1 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500) | | | 1.3 | 1.4 | 1.08 | mesh.utils.regions_combine.CombineRegionsSaveData.track_addedmem_save(50) | | | 92.0 | 92.0 | 1 | mesh.utils.regions_combine.CombineRegionsSaveData.track_addedmem_save(500) | | | 2.1752849999999997 | 2.1752849999999997 | 1 | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(50) | | | 216.01528499999998 | 216.01528499999998 | 1 | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(500) | | | 6.51±0.04ms | 6.59±0.02ms | 1.01 | plot.AuxSort.time_aux_sort | | | 78.1±3ms | 76.5±2ms | 0.98 | regridding.CurvilinearRegridding.time_regrid_pic | | | 144.9 | 144.9 | 1 | regridding.CurvilinearRegridding.track_mem_regrid_pic | | | 97.1±0.5ms | 96.9±0.3ms | 1 | regridding.HorizontalChunkedRegridding.time_regrid_area_w | | | 47.3±1ms | 46.9±1ms | 0.99 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid | | | 111.6 | 111.6 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w | | | 150.6 | 150.6 | 1 | regridding.HorizontalChunkedRegridding.track_mem_regrid_area_w_new_grid | | | 4.06±0.03ms | 4.02±0.03ms | 0.99 | save.NetcdfSave.time_netcdf_save_cube(50, False) | | | 70.6±0.3ms | 70.7±0.3ms | 1 | save.NetcdfSave.time_netcdf_save_cube(50, True) | | | 52.5±0.8ms | 52.7±0.7ms | 1 | save.NetcdfSave.time_netcdf_save_cube(600, False) | | | 552±4ms | 553±3ms | 1 | save.NetcdfSave.time_netcdf_save_cube(600, True) | | | 89.9±2ns | 89.4±2ns | 0.99 | save.NetcdfSave.time_netcdf_save_mesh(50, False) | | | 54.2±0.2ms | 54.0±0.3ms | 1 | save.NetcdfSave.time_netcdf_save_mesh(50, True) | | | 90.3±1ns | 90.1±1ns | 1 | save.NetcdfSave.time_netcdf_save_mesh(600, False) | | | 490±4ms | 487±2ms | 1 | save.NetcdfSave.time_netcdf_save_mesh(600, True) | | | 0.3 | 0.3 | 1 | save.NetcdfSave.track_addedmem_netcdf_save(50, False) | | | 1.7 | 1.9 | 1.12 | save.NetcdfSave.track_addedmem_netcdf_save(50, True) | | | 0.3 | 0.3 | 1 | save.NetcdfSave.track_addedmem_netcdf_save(600, False) | | | 181.6 | 198.2 | 1.09 | save.NetcdfSave.track_addedmem_netcdf_save(600, True) | | | 41.8±1ms | 41.7±1ms | 1 | stats.PearsonR.time_lazy | | | 18.7±0.3ms | 18.7±0.2ms | 1 | stats.PearsonR.time_real | | | 19.6 | 19.6 | 1 | stats.PearsonR.track_lazy | | | 17.8 | 17.8 | 1 | stats.PearsonR.track_real | | | 22.8±2ms | 22.8±0.7ms | 1 | trajectory.TrajectoryInterpolation.time_trajectory_linear | | | 59.8±0.4ms | 60.4±0.4ms | 1.01 | trajectory.TrajectoryInterpolation.time_trajectory_nearest | | | 32.2 | 32.2 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_linear | | | 21.6 | 21.6 | 1 | trajectory.TrajectoryInterpolation.track_trajectory_nearest | Benchmarks that have got worse: | Change | Before [5c18504e] | After [dd717405] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|------------------------------------------------------| | + | 3.56±0.9ms | 5.39±0.04ms | 1.51 | load.ugrid.DataRealisation.time_realise_data(200000) | ```

Generated by GHA run 10378443825

pp-mo commented 1 month ago

Is there something really going on here?

6118 possibly simlar