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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
635 stars 283 forks source link

Performance Shift(s): `d2fc1dba` #6174

Closed github-actions[bot] closed 4 days ago

github-actions[bot] commented 1 week 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: d2fc1dba

Performance shifts ``` | Change | Before [cc60a605] | After [d2fc1dba] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|----------------------------| | - | 2.23±0.04ms | 349±2μs | 0.16 | import_iris.Iris.time_plot | | Change | Before [cc60a605] | After [d2fc1dba] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|--------------------------------------------------------------------| | + | 20.2±0.4ms | 26.1±0.09ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | + | 24.8±0.4ms | 30.1±0.3ms | 1.21 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | + | 18.4±0.5ms | 24.0±0.3ms | 1.3 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | + | 22.9±0.6ms | 28.5±0.2ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | + | 18.7±0.6ms | 24.0±0.3ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | + | 22.8±0.7ms | 28.4±0.3ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | + | 19.2±0.4ms | 24.7±0.3ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | + | 23.3±0.5ms | 28.9±0.3ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | + | 19.3±0.6ms | 25.4±0.2ms | 1.32 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | + | 23.9±0.6ms | 29.3±0.3ms | 1.23 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | + | 19.0±0.5ms | 24.4±0.5ms | 1.28 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | + | 23.2±0.7ms | 28.8±0.4ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | + | 18.9±0.6ms | 24.8±0.2ms | 1.31 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | + | 23.2±0.6ms | 28.5±0.2ms | 1.23 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | + | 18.1±0.5ms | 23.8±0.2ms | 1.32 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | + | 22.5±0.7ms | 28.3±0.4ms | 1.26 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | + | 22.2±0.4ms | 27.6±0.4ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | + | 22.1±0.5ms | 27.4±0.4ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | + | 26.4±0.5ms | 31.7±0.3ms | 1.2 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | + | 21.6±0.7ms | 26.9±0.5ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | + | 25.5±0.6ms | 31.0±0.3ms | 1.22 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | ```
Full benchmark results ``` Benchmarks that have improved: | Change | Before [cc60a605] | After [d2fc1dba] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|----------------------------| | - | 2.23±0.04ms | 349±2μs | 0.16 | import_iris.Iris.time_plot | Benchmarks that have stayed the same: | Change | Before [cc60a605] | After [d2fc1dba] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|---------------------------------------------------------------------------------------------| | | 59.0±0.8ms | 60.0±0.7ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False) | | | 60.0±1ms | 61.4±1ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True) | | | 213±4ms | 219±3ms | 1.03 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False) | | | 211±5ms | 220±1ms | 1.04 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True) | | | 38.4±0.5ms | 38.6±0.3ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False) | | | 39.1±1ms | 39.6±0.2ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True) | | | 37.8±1ms | 39.2±0.2ms | 1.04 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False) | | | 39.5±1ms | 40.1±0.5ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True) | | | 51.3±0.7ms | 51.6±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False) | | | 52.5±1ms | 52.5±0.7ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True) | | | 137±1ms | 137±2ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False) | | | 135±2ms | 137±2ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True) | | | 56.2±0.8ms | 57.0±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False) | | | 57.0±0.6ms | 57.5±0.7ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True) | | | 38.2±0.8ms | 38.7±0.5ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False) | | | 38.2±0.7ms | 39.8±0.5ms | 1.04 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True) | | | 50.9±0.6ms | 52.0±0.6ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False) | | | 51.2±0.8ms | 52.7±0.8ms | 1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True) | | | 1.36±0.01s | 1.36±0.02s | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False) | | | 1.35±0.02s | 1.35±0.01s | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True) | | | 695±3ms | 704±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False) | | | 696±10ms | 701±10ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True) | | | 36.5±0.5ms | 37.3±0.4ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False) | | | 37.9±0.7ms | 37.9±0.3ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True) | | | 68.6±0.8ms | 70.0±0.7ms | 1.02 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False) | | | 69.7±1ms | 70.2±0.9ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True) | | | 72.1±0.6ms | 72.3±1ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False) | | | 72.1±0.9ms | 72.9±0.8ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True) | | | 67.0±1ms | 67.4±0.6ms | 1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False) | | | 67.7±0.5ms | 67.6±1ms | 1.00 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True) | | | 141±2ms | 152±1ms | 1.08 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False) | | | 156±2ms | 168±1ms | 1.07 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True) | | | 36.9±0.6ms | 38.3±0.7ms | 1.04 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False) | | | 41.2±0.7ms | 42.5±0.6ms | 1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True) | | | 580±5ms | 584±5ms | 1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False) | | | 588±4ms | 586±5ms | 1.00 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True) | | | 159±3ms | 170±1ms | 1.07 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False) | | | 179±2ms | 189±1ms | 1.05 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True) | | | 26.7±1ms | 31.8±0.3ms | 1.19 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True) | | | 94.1±0.7ms | 94.5±0.6ms | 1.00 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False) | | | 95.2±1ms | 96.8±1ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True) | | | 108±1ms | 110±2ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False) | | | 109±1ms | 110±2ms | 1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True) | | | 63.7±0.6ms | 65.9±0.8ms | 1.03 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False) | | | 64.4±0.8ms | 65.8±1ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True) | | | 30.4±0.5ms | 31.8±0.6ms | 1.05 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False) | | | 34.8±0.6ms | 36.0±0.7ms | 1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True) | | | 33.3±0.6ms | 34.1±0.6ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False) | | | 37.0±1ms | 38.2±0.9ms | 1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True) | | | 26.1±0.4ms | 27.2±0.3ms | 1.04 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False) | | | 30.3±0.6ms | 31.2±0.2ms | 1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True) | | | 336±6ms | 349±2ms | 1.04 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False) | | | 359±5ms | 367±3ms | 1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True) | | | 1.13±0.01ms | 1.11±0.01ms | 0.98 | cube.CubeCreation.time_create(False, 'construct') | | | 402±3μs | 401±7μs | 1.00 | cube.CubeCreation.time_create(False, 'instantiate') | | | 946±10μs | 954±4μs | 1.01 | cube.CubeCreation.time_create(True, 'construct') | | | 581±7μs | 573±6μs | 0.99 | cube.CubeCreation.time_create(True, 'instantiate') | | | 239±5ms | 245±6ms | 1.02 | cube.CubeEquality.time_equality(False, False, 'all_equal') | | | 122±2ms | 127±1ms | 1.04 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') | | | 245±3ms | 257±2ms | 1.05 | cube.CubeEquality.time_equality(False, False, 'data_inequality') | | | 16.6±0.4μs | 16.8±0.2μs | 1.01 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') | | | 329±5ms | 345±5ms | 1.05 | cube.CubeEquality.time_equality(False, True, 'all_equal') | | | 215±2ms | 232±3ms | 1.08 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') | | | 337±2ms | 358±5ms | 1.06 | cube.CubeEquality.time_equality(False, True, 'data_inequality') | | | 16.9±0.3μs | 17.1±0.2μs | 1.01 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') | | | 236±4ms | 242±3ms | 1.03 | cube.CubeEquality.time_equality(True, False, 'all_equal') | | | 122±2ms | 127±1ms | 1.04 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') | | | 245±5ms | 255±5ms | 1.04 | cube.CubeEquality.time_equality(True, False, 'data_inequality') | | | 52.8±0.4μs | 53.6±0.4μs | 1.02 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') | | | 334±3ms | 349±5ms | 1.05 | cube.CubeEquality.time_equality(True, True, 'all_equal') | | | 215±2ms | 231±2ms | 1.07 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') | | | 337±4ms | 358±5ms | 1.06 | cube.CubeEquality.time_equality(True, True, 'data_inequality') | | | 54.9±0.6μs | 55.6±0.9μs | 1.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') | | | 798±9μs | 802±3μs | 1.00 | import_iris.Iris.time__concatenate | | | 184±2μs | 185±4μs | 1.00 | import_iris.Iris.time__constraints | | | 110±0.7μs | 112±2μs | 1.01 | import_iris.Iris.time__data_manager | | | 95.4±0.6μs | 94.7±0.5μs | 0.99 | import_iris.Iris.time__deprecation | | | 138±2μs | 137±0.8μs | 1.00 | import_iris.Iris.time__lazy_data | | | 928±10μs | 928±6μs | 1.00 | import_iris.Iris.time__merge | | | 77.7±0.4μs | 76.9±0.3μs | 0.99 | import_iris.Iris.time__representation | | | 595±4μs | 600±6μs | 1.01 | import_iris.Iris.time_analysis | | | 141±2μs | 140±1μs | 0.99 | import_iris.Iris.time_analysis__area_weighted | | | 111±0.9μs | 111±0.9μs | 1.00 | import_iris.Iris.time_analysis__grid_angles | | | 253±5μs | 248±3μs | 0.98 | import_iris.Iris.time_analysis__interpolation | | | 189±4μs | 189±4μs | 1.00 | import_iris.Iris.time_analysis__regrid | | | 113±0.9μs | 112±0.9μs | 0.99 | import_iris.Iris.time_analysis__scipy_interpolate | | | 141±0.9μs | 143±1μs | 1.01 | import_iris.Iris.time_analysis_calculus | | | 336±3μs | 340±5μs | 1.01 | import_iris.Iris.time_analysis_cartography | | | 94.8±0.5μs | 96.1±2μs | 1.01 | import_iris.Iris.time_analysis_geomerty | | | 225±5μs | 224±3μs | 1.00 | import_iris.Iris.time_analysis_maths | | | 99.1±2μs | 98.6±0.3μs | 0.99 | import_iris.Iris.time_analysis_stats | | | 177±3μs | 177±2μs | 1.00 | import_iris.Iris.time_analysis_trajectory | | | 308±4μs | 312±9μs | 1.01 | import_iris.Iris.time_aux_factory | | | 84.8±1μs | 87.6±1μs | 1.03 | import_iris.Iris.time_common | | | 164±4μs | 164±1μs | 1.00 | import_iris.Iris.time_common_lenient | | | 1.37±0.03ms | 1.37±0.01ms | 1.00 | import_iris.Iris.time_common_metadata | | | 140±1μs | 139±1μs | 0.99 | import_iris.Iris.time_common_mixin | | | 1.20±0.01ms | 1.20±0.01ms | 1.01 | import_iris.Iris.time_common_resolve | | | 199±4μs | 202±3μs | 1.02 | import_iris.Iris.time_config | | | 125±1μs | 124±1μs | 0.99 | import_iris.Iris.time_coord_categorisation | | | 367±4μs | 369±9μs | 1.00 | import_iris.Iris.time_coord_systems | | | 752±4μs | 759±7μs | 1.01 | import_iris.Iris.time_coords | | | 660±9μs | 663±4μs | 1.01 | import_iris.Iris.time_cube | | | 229±2μs | 230±4μs | 1.01 | import_iris.Iris.time_exceptions | | | 77.6±0.6μs | 77.5±0.7μs | 1.00 | import_iris.Iris.time_experimental | | | 185±1μs | 185±1μs | 1.00 | import_iris.Iris.time_fileformats | | | 261±7μs | 255±5μs | 0.98 | import_iris.Iris.time_fileformats__ff | | | 2.74±0.01ms | 2.76±0.03ms | 1.01 | import_iris.Iris.time_fileformats__ff_cross_references | | | 79.0±0.6μs | 79.7±1μs | 1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs | | | 116±2μs | 116±0.8μs | 1.00 | import_iris.Iris.time_fileformats_abf | | | 406±4μs | 408±2μs | 1.00 | import_iris.Iris.time_fileformats_cf | | | 5.33±0.07ms | 5.30±0.07ms | 1.00 | import_iris.Iris.time_fileformats_dot | | | 75.1±0.7μs | 75.6±1μs | 1.01 | import_iris.Iris.time_fileformats_name | | | 259±3μs | 260±2μs | 1.00 | import_iris.Iris.time_fileformats_name_loaders | | | 119±1μs | 120±1μs | 1.00 | import_iris.Iris.time_fileformats_netcdf | | | 125±2μs | 124±0.9μs | 0.99 | import_iris.Iris.time_fileformats_nimrod | | | 215±2μs | 214±3μs | 0.99 | import_iris.Iris.time_fileformats_nimrod_load_rules | | | 781±6μs | 790±5μs | 1.01 | import_iris.Iris.time_fileformats_pp | | | 183±2μs | 185±1μs | 1.01 | import_iris.Iris.time_fileformats_pp_load_rules | | | 138±0.8μs | 136±0.9μs | 0.98 | import_iris.Iris.time_fileformats_pp_save_rules | | | 526±3μs | 523±4μs | 0.99 | import_iris.Iris.time_fileformats_rules | | | 223±5μs | 223±4μs | 1.00 | import_iris.Iris.time_fileformats_structured_array_identification | | | 83.9±0.8μs | 84.3±0.5μs | 1.01 | import_iris.Iris.time_fileformats_um | | | 163±2μs | 163±1μs | 1.00 | import_iris.Iris.time_fileformats_um__fast_load | | | 139±1μs | 140±0.7μs | 1.01 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields | | | 76.9±0.9μs | 76.2±0.6μs | 0.99 | import_iris.Iris.time_fileformats_um__ff_replacement | | | 82.5±0.4μs | 83.2±0.8μs | 1.01 | import_iris.Iris.time_fileformats_um__optimal_array_structuring | | | 1.00±0ms | 999±4μs | 1.00 | import_iris.Iris.time_fileformats_um_cf_map | | | 138±3μs | 138±0.6μs | 1.00 | import_iris.Iris.time_io | | | 176±3μs | 178±3μs | 1.01 | import_iris.Iris.time_io_format_picker | | | 234±3μs | 231±2μs | 0.99 | import_iris.Iris.time_iris | | | 129±0.6μs | 129±0.6μs | 1.00 | import_iris.Iris.time_iterate | | | 8.37±0.06ms | 8.39±0.06ms | 1.00 | import_iris.Iris.time_palette | | | 107±1μs | 105±0.4μs | 0.98 | import_iris.Iris.time_quickplot | | | 2.22±0.03ms | 2.26±0.02ms | 1.02 | import_iris.Iris.time_std_names | | | 1.79±0.01ms | 1.78±0.01ms | 0.99 | import_iris.Iris.time_symbols | | | 87.6±0.6ms | 88.2±0.8ms | 1.01 | import_iris.Iris.time_tests | | | 257±2μs | 255±4μs | 0.99 | import_iris.Iris.time_third_party_cartopy | | | 4.74±0.02ms | 4.75±0.03ms | 1.00 | import_iris.Iris.time_third_party_cf_units | | | 120±0.9μs | 119±0.5μs | 0.99 | import_iris.Iris.time_third_party_cftime | | | 2.84±0.02ms | 2.84±0.04ms | 1.00 | import_iris.Iris.time_third_party_matplotlib | | | 1.08±0ms | 1.06±0ms | 0.99 | import_iris.Iris.time_third_party_numpy | | | 170±1μs | 171±1μs | 1.00 | import_iris.Iris.time_third_party_scipy | | | 102±1μs | 101±0.8μs | 0.99 | import_iris.Iris.time_time | | | 331±2μs | 332±5μs | 1.00 | import_iris.Iris.time_util | | | 72.9±1μs | 72.4±0.7μs | 0.99 | iterate.IZip.time_izip | | | 8.94±0.08ms | 9.06±0.09ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') | | | 23.9±0.3ms | 25.9±0.5ms | 1.08 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') | | | 9.71±0.06ms | 9.73±0.1ms | 1.00 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') | | | 8.94±0.04ms | 8.91±0.1ms | 1.00 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') | | | 21.6±0.1ms | 22.0±0.4ms | 1.02 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') | | | 9.78±0.1ms | 9.73±0.06ms | 1.00 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') | | | 1.52±0.02s | 1.51±0.02s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') | | | 21.5±0.2ms | 21.7±0.5ms | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') | | | 1.70±0.02s | 1.68±0.01s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') | | | 1.53±0.01s | 1.52±0.01s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') | | | 21.6±0.3ms | 21.8±0.3ms | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') | | | 1.68±0.01s | 1.69±0.01s | 1.00 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') | | | 4.26±0.05ms | 4.25±0.05ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') | | | 19.9±0.2ms | 20.2±0.4ms | 1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') | | | 4.60±0.04ms | 4.61±0.04ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') | | | 4.25±0.03ms | 4.25±0.05ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') | | | 20.2±0.2ms | 20.2±0.4ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') | | | 4.57±0.05ms | 4.52±0.03ms | 0.99 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') | | | 35.3±4ms | 34.3±3ms | 0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') | | | 19.8±0.6ms | 20.3±0.3ms | 1.02 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') | | | 13.9±2ms | 14.0±3ms | 1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') | | | 26.0±2ms | 26.1±2ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') | | | 71.0±2ms | 70.7±1ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') | | | 25.8±2ms | 26.0±1ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') | | | 490±5ms | 488±5ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') | | | 2.98±0.09ms | 2.85±0.09ms | 0.96 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') | | | 497±9ms | 493±4ms | 0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') | | | 501±4ms | 495±5ms | 0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') | | | 2.97±0.06ms | 2.93±0.1ms | 0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') | | | 505±5ms | 504±5ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') | | | 1.70±0.08ms | 1.67±0.1ms | 0.98 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') | | | 2.92±0.05ms | 2.93±0.1ms | 1.00 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') | | | 1.69±0.05ms | 1.73±0.07ms | 1.02 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') | | | 1.74±0.09ms | 1.70±0.07ms | 0.98 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') | | | 3.04±0.09ms | 2.87±0.07ms | 0.94 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') | | | 1.75±0.07ms | 1.69±0.03ms | 0.96 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') | | | 367±4ms | 366±3ms | 1.00 | load.ManyVars.time_many_var_load | | | 9.12±0.1ms | 9.23±0.1ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') | | | 9.83±0.08ms | 9.90±0.1ms | 1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') | | | 1.54±0.01s | 1.55±0.01s | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') | | | 1.74±0.02s | 1.74±0.03s | 1.00 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') | | | 4.37±0.05ms | 4.30±0.07ms | 0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') | | | 4.57±0.03ms | 4.61±0.05ms | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') | | | 8.92±0.1ms | 8.88±0.04ms | 1.00 | load.StructuredFF.time_structured_load((1280, 960, 5), False) | | | 5.85±0.04ms | 5.80±0.04ms | 0.99 | load.StructuredFF.time_structured_load((1280, 960, 5), True) | | | 1.53±0.02s | 1.53±0.03s | 1.00 | load.StructuredFF.time_structured_load((2, 2, 1000), False) | | | 528±10ms | 531±10ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True) | | | 4.23±0.02ms | 4.25±0.04ms | 1.00 | load.StructuredFF.time_structured_load((2, 2, 2), False) | | | 4.16±0.02ms | 4.17±0.06ms | 1.00 | load.StructuredFF.time_structured_load((2, 2, 2), True) | | | 162±2ms | 163±2ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'FF') | | | 23.5±0.3ms | 24.0±0.2ms | 1.02 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') | | | 178±2ms | 183±2ms | 1.03 | load.TimeConstraint.time_time_constraint(20, 'PP') | | | 31.5±0.2ms | 31.5±0.3ms | 1.00 | load.TimeConstraint.time_time_constraint(3, 'FF') | | | 23.4±0.3ms | 23.6±0.2ms | 1.01 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') | | | 34.3±0.6ms | 34.0±0.3ms | 0.99 | load.TimeConstraint.time_time_constraint(3, 'PP') | | | 17.9±0.4ms | 18.0±0.3ms | 1.01 | load.ugrid.BasicLoading.time_load_file(1) | | | 44.4±0.5ms | 46.3±0.9ms | 1.04 | load.ugrid.BasicLoading.time_load_file(200000) | | | 14.8±0.3ms | 14.8±0.2ms | 1.00 | load.ugrid.BasicLoading.time_load_mesh(1) | | | 23.3±0.8ms | 25.1±0.5ms | 1.08 | load.ugrid.BasicLoading.time_load_mesh(200000) | | | 18.1±0.4ms | 18.5±0.2ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_file(1) | | | 20.9±0.7ms | 22.7±0.3ms | 1.08 | load.ugrid.BasicLoadingTime.time_load_file(200000) | | | 14.9±0.3ms | 14.8±0.2ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(1) | | | 17.4±0.4ms | 19.1±0.7ms | 1.09 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) | | | 19.1±0.4ms | 19.6±0.6ms | 1.03 | load.ugrid.Callback.time_load_file_callback(1) | | | 54.2±0.6ms | 57.9±0.9ms | 1.07 | load.ugrid.Callback.time_load_file_callback(200000) | | | 19.1±0.6ms | 19.3±0.5ms | 1.01 | load.ugrid.CallbackTime.time_load_file_callback(1) | | | 22.7±0.7ms | 25.4±0.6ms | 1.12 | load.ugrid.CallbackTime.time_load_file_callback(200000) | | | 2.85±0.09ms | 2.80±0.1ms | 0.98 | load.ugrid.DataRealisation.time_realise_data(10000) | | | 5.55±0.09ms | 5.40±1ms | 0.97 | load.ugrid.DataRealisation.time_realise_data(200000) | | | 37.5±1ms | 36.4±2ms | 0.97 | load.ugrid.DataRealisationTime.time_realise_data(10000) | | | 817±7ms | 809±10ms | 0.99 | load.ugrid.DataRealisationTime.time_realise_data(200000) | | | 422±4ms | 437±5ms | 1.04 | merge_concat.Concatenate.time_concatenate(False) | | | 424±4ms | 431±4ms | 1.02 | merge_concat.Concatenate.time_concatenate(True) | | | 119±5M | 109±0.2M | 0.91 | merge_concat.Concatenate.tracemalloc_concatenate(False) | | | 114±5M | 109±3M | 0.95 | merge_concat.Concatenate.tracemalloc_concatenate(True) | | | 51.4±0.7ms | 57.9±1ms | 1.13 | merge_concat.Merge.time_merge | | | 914±300k | 1.13±0.3M | ~1.24 | merge_concat.Merge.tracemalloc_merge | | | 461±3ns | 465±4ns | 1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) | | | 258±2ms | 258±3ms | 1.00 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500) | | | 656±2k | 656±2k | 1.00 | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50) | | | 60.1±0M | 60.1±0M | 1.00 | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500) | | | 16.6±0.2ms | 16.4±0.2ms | 0.99 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) | | | 18.7±0.5ms | 18.4±0.2ms | 0.99 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500) | | | 498±20k | 501±30k | 1.01 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50) | | | 12.4±0.02M | 12.4±0.03M | 1.00 | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500) | | | 110±1ms | 118±2ms | 1.08 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) | | | 710±7ms | 728±7ms | 1.03 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) | | | 1.24±0.04M | 1.24±0.02M | 1.00 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50) | | | 96.3±0.04M | 96.3±0.03M | 1.00 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) | | | 70.2±0.5ms | 78.0±1ms | 1.11 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50) | | | 663±3ms | 686±2ms | 1.04 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500) | | | 1.17±0.01M | 1.16±0.02M | 0.99 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50) | | | 96.2±0.02M | 96.2±0.02M | 1.00 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(500) | | | 2.1752849999999997 | 2.1752849999999997 | 1.00 | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(50) | | | 216.01528499999998 | 216.01528499999998 | 1.00 | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(500) | | | 6.59±0.01ms | 6.58±0.09ms | 1.00 | plot.AuxSort.time_aux_sort | | | 80.8±1ms | 81.4±2ms | 1.01 | regridding.CurvilinearRegridding.time_regrid_pic | | | 136±3M | 136±3M | 1.00 | regridding.CurvilinearRegridding.tracemalloc_regrid_pic | | | 101±0.6ms | 102±1ms | 1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w | | | 51.7±2ms | 50.4±1ms | 0.98 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid | | | 106±0.04M | 106±0.05M | 1.00 | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w | | | 147±0.02M | 147±0.02M | 1.00 | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid | | | 4.48±0.02ms | 4.46±0.09ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(50, False) | | | 74.0±0.2ms | 82.4±2ms | 1.11 | save.NetcdfSave.time_netcdf_save_cube(50, True) | | | 53.1±2ms | 53.6±1ms | 1.01 | save.NetcdfSave.time_netcdf_save_cube(600, False) | | | 576±5ms | 587±6ms | 1.02 | save.NetcdfSave.time_netcdf_save_cube(600, True) | | | 90.4±1ns | 91.5±0.9ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, False) | | | 56.0±0.3ms | 62.6±0.6ms | 1.12 | save.NetcdfSave.time_netcdf_save_mesh(50, True) | | | 89.5±0.6ns | 90.1±2ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, False) | | | 505±4ms | 521±4ms | 1.03 | save.NetcdfSave.time_netcdf_save_mesh(600, True) | | | 27.2±0.1k | 27.2±0.09k | 1.00 | save.NetcdfSave.tracemalloc_netcdf_save(50, False) | | | 1.71±0.1M | 1.72±0.1M | 1.01 | save.NetcdfSave.tracemalloc_netcdf_save(50, True) | | | 27.2±0.08k | 27.2±0.06k | 1.00 | save.NetcdfSave.tracemalloc_netcdf_save(600, False) | | | 225±30M | 191±20M | 0.85 | save.NetcdfSave.tracemalloc_netcdf_save(600, True) | | | 48.4±0.8ms | 49.1±1ms | 1.02 | stats.PearsonR.time_lazy | | | 19.0±0.1ms | 19.0±0.3ms | 1.00 | stats.PearsonR.time_real | | | 19.9±0.2M | 19.9±0.1M | 1.00 | stats.PearsonR.tracemalloc_lazy | | | 18.4±0.01M | 18.4±0.01M | 1.00 | stats.PearsonR.tracemalloc_real | | | 23.7±1ms | 27.7±0.5ms | 1.17 | trajectory.TrajectoryInterpolation.time_trajectory_linear | | | 59.8±0.6ms | 68.1±1ms | 1.14 | trajectory.TrajectoryInterpolation.time_trajectory_nearest | | | 23.3±0.01M | 23.3±0.01M | 1.00 | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear | | | 12.1±0.05M | 12.1±0.05M | 1.00 | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest | Benchmarks that have got worse: | Change | Before [cc60a605] | After [d2fc1dba] | Ratio | Benchmark (Parameter) | |----------|------------------------------|-----------------------------|---------|--------------------------------------------------------------------| | + | 20.2±0.4ms | 26.1±0.09ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False) | | + | 24.8±0.4ms | 30.1±0.3ms | 1.21 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True) | | + | 18.4±0.5ms | 24.0±0.3ms | 1.3 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False) | | + | 22.9±0.6ms | 28.5±0.2ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True) | | + | 18.7±0.6ms | 24.0±0.3ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False) | | + | 22.8±0.7ms | 28.4±0.3ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True) | | + | 19.2±0.4ms | 24.7±0.3ms | 1.29 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False) | | + | 23.3±0.5ms | 28.9±0.3ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True) | | + | 19.3±0.6ms | 25.4±0.2ms | 1.32 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False) | | + | 23.9±0.6ms | 29.3±0.3ms | 1.23 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True) | | + | 19.0±0.5ms | 24.4±0.5ms | 1.28 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False) | | + | 23.2±0.7ms | 28.8±0.4ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True) | | + | 18.9±0.6ms | 24.8±0.2ms | 1.31 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False) | | + | 23.2±0.6ms | 28.5±0.2ms | 1.23 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True) | | + | 18.1±0.5ms | 23.8±0.2ms | 1.32 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False) | | + | 22.5±0.7ms | 28.3±0.4ms | 1.26 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True) | | + | 22.2±0.4ms | 27.6±0.4ms | 1.25 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False) | | + | 22.1±0.5ms | 27.4±0.4ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False) | | + | 26.4±0.5ms | 31.7±0.3ms | 1.2 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True) | | + | 21.6±0.7ms | 26.9±0.5ms | 1.24 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False) | | + | 25.5±0.6ms | 31.0±0.3ms | 1.22 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True) | ```

Generated by GHA run 11300372142

trexfeathers commented 4 days ago

Expected: https://github.com/SciTools/iris/pull/6171#issuecomment-2407272331