8000 Redirect ALL un-loadable NetCDF objects to `LOAD_PROBLEMS` by trexfeathers · Pull Request #6465 · SciTools/iris · GitHub
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Redirect ALL un-loadable NetCDF objects to LOAD_PROBLEMS #6465

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Merged
merged 23 commits into from
Jun 3, 2025
Merged

Redirect ALL un-loadable NetCDF objects to LOAD_PROBLEMS #6465

merged 23 commits into from
Jun 3, 2025

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trexfeathers
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@trexfeathers trexfeathers commented May 13, 2025 •
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🚀 Pull Request

Description

Closes #6319

Objects

  • Auxiliary coordinates
  • Introduce LoadProblems.Problem.handled flag
  • Introduce LoadProblems.Problem.destination attribute, for maximum context
  • Refactor existing changes to capture objects being added to non-Cube objects too
  • Cube units
  • Cell methods
  • Cube attributes
  • Coordinate systems
  • Cell measures
  • Ancillary variables
  • Mesh content

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  • benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts

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codecov bot commented May 13, 2025 •
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Codecov Report

Attention: Patch coverage is 98.32402% with 3 lines in your changes missing coverage. Please review.

Project coverage is 89.88%. Comparing base (0e586bf) to head (e6b082c).
Report is 1 commits behind head on main.

Files with missing lines Patch % Lines
lib/iris/fileformats/_nc_load_rules/helpers.py 97.22% 0 Missing and 3 partials ⚠️
Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #6465      +/-   ##
==========================================
+ Coverage   89.83%   89.88%   +0.04%     
==========================================
  Files          90       90              
  Lines       23820    23904      +84     
  Branches     4452     4459       +7     
==========================================
+ Hits        21399    21485      +86     
+ Misses       1670     1667       -3     
- Partials      751      752       +1

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trexfeathers
trexfeathers commented May 16, 2025
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ukmo-ccbunney
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Hey @trexfeathers
I've reviewed up to commit 8887c69 (Cell methods) and other than a few minor comments I think this is looking ace so far. 👍

@trexfeathers trexfeathers added the benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts label May 30, 2025
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Please see SciTools/.github#146

@trexfeathers trexfeathers marked this pull request as ready for review May 30, 2025 18:30
@trexfeathers trexfeathers added benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts and removed benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts labels Jun 2, 2025
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⏱️ Performance Benchmark Report: 74a3371

Performance shifts 
| Change   | Before [79272122]    | After [74a3371d]    |   Ratio | Benchmark (Parameter)                                                          |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------|
| -        | 446±80ns             | 367±7ns             |    0.82 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) |
Full benchmark results 

Benchmarks that have improved:

| Change   | Before [79272122]    | After [74a3371d]    |   Ratio | Benchmark (Parameter)                                                          |
|----------|----------------------|---------------------|---------|--------------------------------------------------------------------------------|
| -        | 446±80ns             | 367±7ns             |    0.82 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) |

Benchmarks that have stayed the same:

| Change   | Before [79272122]    | After [74a3371d]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 21.8±0.4ms           | 21.6±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 53.7±1ms             | 53.0±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 35.9±1ms             | 35.6±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 166±2ms              | 167±3ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.9±0.3ms           | 23.7±0.5ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 32.0±0.5ms           | 32.0±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 23.9±0.3ms           | 23.4±0.1ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 32.2±0.5ms           | 31.7±0.4ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.7±0.6ms           | 21.3±0.3ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 45.7±0.7ms           | 44.4±0.8ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 126±0.5ms            | 127±0.6ms           |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 128±2ms              | 128±1ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.9±0.4ms           | 22.7±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 48.7±0.8ms           | 48.2±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 24.3±0.6ms           | 24.4±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 58.2±0.6ms           | 56.9±0.6ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 21.7±0.5ms           | 21.3±0.5ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 45.1±0.7ms           | 45.2±0.5ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.09±0.01s           | 1.10±0.03s          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.08±0.01s           | 1.12±0.03s          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 224±3ms              | 216±2ms             |    0.96 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 355±6ms              | 341±8ms             |    0.96 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 22.7±0.6ms           | 22.5±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 30.7±0.4ms           | 30.1±0.4ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 23.0±0.4ms           | 22.6±0.3ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 60.0±1ms             | 59.0±1ms            |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 23.5±0.9ms           | 23.9±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 62.3±0.7ms           | 61.3±0.8ms          |    0.98 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 24.0±0.7ms           | 23.2±0.5ms          |    0.97 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 58.5±0.3ms           | 57.7±0.7ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 7.95±0.2ms           | 7.76±0.06ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 22.1±0.4ms           | 21.6±0.2ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 19.7±0.3ms           | 19.6±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 125±0.6ms            | 124±1ms             |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.16±0.3ms           | 8.22±0.03ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 20.0±0.2ms           | 19.9±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.09±0.3ms           | 8.16±0.04ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 20.0±0.3ms           | 19.6±0.1ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 7.64±0.3ms           | 7.71±0.04ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 20.5±0.4ms           | 20.1±0.2ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 24.8±0.6ms           | 24.2±0.3ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 35.3±0.8ms           | 34.1±0.6ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.15±0.3ms           | 8.10±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 21.2±0.6ms           | 20.7±0.3ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 9.65±0.3ms           | 9.34±0.09ms         |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 23.5±0.3ms           | 23.2±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 7.90±0.2ms           | 7.77±0.06ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 20.2±0.6ms           | 20.0±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 528±4ms              | 530±1ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 536±1ms              | 541±4ms             |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 46.5±0.3ms           | 45.9±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 135±2ms              | 132±1ms             |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.04±0.3ms           | 7.88±0.07ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 20.3±0.4ms           | 19.5±0.2ms          |    0.96 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.04±0.3ms           | 8.12±0.1ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 22.9±0.4ms           | 22.5±0.4ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.46±0.2ms           | 8.26±0.1ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 22.2±0.4ms           | 21.8±0.5ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.44±0.1ms           | 8.25±0.06ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 22.1±0.3ms           | 21.3±0.3ms          |    0.97 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 23.3±0.5ms           | 22.9±0.4ms          |    0.98 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 83.0±0.8ms           | 82.9±0.8ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 23.1±0.5ms           | 23.1±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 96.1±0.9ms           | 95.6±1ms            |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 22.0±0.4ms           | 22.0±0.4ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 56.1±1ms             | 54.8±0.5ms          |    0.98 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.16±0.3ms           | 8.22±0.03ms         |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 27.0±0.3ms           | 27.1±0.5ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.32±0.2ms           | 8.05±0.08ms         |    0.97 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 28.8±0.4ms           | 28.2±0.7ms          |    0.98 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|     
F438
     | 8.17±0.3ms           | 7.76±0.09ms         |    0.95 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 22.8±0.3ms           | 22.7±0.4ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 219±3ms              | 217±4ms             |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 273±6ms              | 275±3ms             |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.16±0.04ms          | 1.14±0.01ms         |    0.98 | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 403±20μs             | 395±6μs             |    0.98 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 991±40μs             | 985±8μs             |    0.99 | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 575±10μs             | 587±10μs            |    1.02 | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 87.6±2ms             | 85.8±2ms            |    0.98 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 25.7±0.3ms           | 25.7±0.4ms          |    1    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 99.5±2ms             | 98.0±0.9ms          |    0.99 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 18.0±1μs             | 17.3±0.2μs          |    0.96 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 86.8±2ms             | 85.5±0.6ms          |    0.99 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 26.9±0.3ms           | 26.5±0.5ms          |    0.98 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 102±2ms              | 101±1ms             |    0.99 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.7±0.9μs           | 17.7±0.3μs          |    1    | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 168±2ms              | 170±2ms             |    1.01 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 67.5±0.8ms           | 67.8±0.9ms          |    1    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 200±2ms              | 196±3ms             |    0.98 | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 54.6±0.6μs           | 53.7±0.5μs          |    0.98 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 251±8ms              | 241±2ms             |    0.96 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 137±2ms              | 138±2ms             |    1.01 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 273±2ms              | 269±3ms             |    0.98 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 56.7±0.5μs           | 55.7±0.5μs          |    0.98 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 826±20μs             | 809±10μs            |    0.98 | import_iris.Iris.time__concatenate                                                          |
|          | 188±3μs              | 185±1μs             |    0.99 | import_iris.Iris.time__constraints                                                          |
|          | 114±0.8μs            | 112±4μs             |    0.99 | import_iris.Iris.time__data_manager                                                         |
|          | 91.0±0.6μs           | 92.0±0.7μs          |    1.01 | import_iris.Iris.time__deprecation                                                          |
|          | 164±3μs              | 160±1μs             |    0.98 | import_iris.Iris.time__lazy_data                                                            |
|          | 926±5μs              | 919±5μs             |    0.99 | import_iris.Iris.time__merge                                                                |
|          | 75.6±0.7μs           | 74.3±0.2μs          |    0.98 | import_iris.Iris.time__representation                                                       |
|          | 621±6μs              | 621±8μs             |    1    | import_iris.Iris.time_analysis                                                              |
|          | 138±0.9μs            | 140±1μs             |    1.02 | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 105±0.9μs            | 107±1μs             |    1.02 | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 245±6μs              | 246±2μs             |    1    | import_iris.Iris.time_analysis__interpolation                                               |
|          | 191±5μs              | 190±2μs             |    0.99 | import_iris.Iris.time_analysis__regrid                                                      |
|          | 110±0.9μs            | 109±0.9μs           |    0.99 | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 137±2μs              | 136±1μs             |    0.99 | import_iris.Iris.time_analysis_calculus                                                     |
|          | 325±1μs              | 324±2μs             |    1    | import_iris.Iris.time_analysis_cartography                                                  |
|          | 91.5±0.7μs           | 90.9±2μs            |    0.99 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 212±2μs              | 212±1μs             |    1    | import_iris.Iris.time_analysis_maths                                                        |
|          | 95.0±1μs             | 94.0±0.5μs          |    0.99 | import_iris.Iris.time_analysis_stats                                                        |
|          | 170±0.9μs            | 169±0.9μs           |    0.99 | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 317±3μs              | 317±6μs             |    1    | import_iris.Iris.time_aux_factory                                                           |
|          | 80.5±0.3μs           | 80.4±0.8μs          |    1    | import_iris.Iris.time_common                                                                |
|          | 157±1μs              | 158±0.9μs           |    1    | import_iris.Iris.time_common_lenient                                                        |
|          | 1.37±0.01ms          | 1.37±0.01ms         |    1    | import_iris.Iris.time_common_metadata                                                       |
|          | 166±0.8μs            | 169±5μs             |    1.02 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.17±0.01ms          | 1.17±0ms            |    1    | import_iris.Iris.time_common_resolve                                                        |
|          | 201±2μs              | 197±4μs             |    0.98 | import_iris.Iris.time_config                                                                |
|          | 128±1μs              | 128±2μs             |    1    | import_iris.Iris.time_coord_categorisation                                                  |
|          | 384±2μs              | 391±7μs             |    1.02 | import_iris.Iris.time_coord_systems                                                         |
|          | 765±3μs              | 767±4μs             |    1    | import_iris.Iris.time_coords                                                                |
|          | 646±4μs              | 652±4μs             |    1.01 | import_iris.Iris.time_cube                                                                  |
|          | 243±1μs              | 243±2μs             |    1    | import_iris.Iris.time_exceptions                                                            |
|          | 74.8±0.9μs           | 75.0±0.3μs          |    1    | import_iris.Iris.time_experimental                                                          |
|          | 184±2μs              | 181±0.9μs           |    0.98 | import_iris.Iris.time_fileformats                                                           |
|          | 256±5μs              | 257±2μs             |    1    | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.63±0.02ms          | 2.64±0.01ms         |    1    | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 75.4±0.4μs           | 76.5±0.2μs          |    1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 112±1μs              | 113±1μs             |    1.01 | import_iris.Iris.time_fileformats_abf                                                       |
|          | 425±3μs              | 433±6μs             |    1.02 | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.70±0.06ms          | 4.69±0.04ms         |    1    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 70.8±1μs             | 72.2±1μs            |    1.02 | import_iris.Iris.time_fileformats_name                                                      |
|          | 248±4μs              | 247±0.7μs           |    1    | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 113±0.9μs            | 113±0.6μs           |    1    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 119±0.9μs            | 120±2μs             |    1.01 | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 213±5μs              | 213±4μs             |    1    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 804±4μs              | 809±9μs             |    1.01 | import_iris.Iris.time_fileformats_pp                                                        |
|          | 178±5μs              | 178±0.9μs           |    1    | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 134±2μs              | 133±2μs             |    0.99 | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 550±2μs              | 542±3μs             |    0.99 | import_iris.Iris.time_fileformats_rules                                                     |
|          | 223±4μs              | 219±2μs             |    0.98 | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 80.2±1μs             | 80.9±0.6μs          |    1.01 | import_iris.Iris.time_fileformats_um                                                        |
|          | 160±1μs              | 155±0.8μs           |    0.97 | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 138±5μs              | 136±2μs             |    0.99 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 72.2±0.8μs           | 71.9±0.4μs          |    1    | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 77.3±1μs             | 78.8±0.7μs          |    1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 971±7μs              | 973±10μs            |    1    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 135±1μs              | 136±2μs             |    1    | import_iris.Iris.time_io                                                                    |
|          | 177±2μs              | 177±3μs             |    1    | import_iris.Iris.time_io_format_picker                                                      |
|          | 209±0.6μs            | 207±2μs             |    0.99 | import_iris.Iris.time_iris                                                                  |
|          | 126±1μs              | 125±1μs             |    0.99 | import_iris.Iris.time_iterate                                                               |
|          | 8.30±0.04ms          | 8.19±0.03ms         |    0.99 | import_iris.Iris.time_palette                                                               |
|          | 1.79±0.03ms          | 1.77±0ms            |    0.99 | import_iris.Iris.time_plot                                                                  |
|          | 220±2μs              | 217±1μs             |    0.98 | import_iris.Iris.time_quickplot                                                             |
|          | 2.17±0.04ms          | 2.19±0.03ms         |    1.01 | import_iris.Iris.time_std_names                                                             |
|          | 1.87±0.01ms          | 1.87±0.02ms         |    1    | import_iris.Iris.time_symbols                                                               |
|          | 99.0±1ms             | 99.3±1ms            |    1    | import_iris.Iris.time_tests                                                                 |
|          | 252±2μs              | 254±3μs             |    1.01 | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.05±0.03ms          | 5.10±0.03ms         |    1.01 | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 117±0.1μs            | 117±2μs             |    1    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.76±0.03ms          | 2.74±0.02ms         |    0.99 | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.32±0.01ms          | 1.31±0ms            |    0.99 | import_iris.Iris.time_third_party_numpy                                                     |
|          | 167±3μs              | 167±1μs             |    1    | import_iris.Iris.time_third_party_scipy                                                     |
|          | 100±0.9μs            | 98.9±2μs            |    0.98 | import_iris.Iris.time_time                                                                  |
|          | 350±3μs              | 351±3μs             |    1    | import_iris.Iris.time_util                                                                  |
|          | 73.8±1μs             | 73.7±0.9μs          |    1    | iterate.IZip.time_izip                                                                      |
|          | 9.53±0.1ms           | 9.72±0.04ms         |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 15.4±0.1ms           | 16.0±0.3ms          |    1.04 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 9.70±0.1ms           | 9.69±0.04ms         |    1    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 9.57±0.2ms           | 9.69±0.1ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.1±0.1ms           | 13.2±0.2ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 9.71±0.2ms           | 9.74±0.2ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.43±0.02s           | 1.45±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.3±0.2ms           | 12.1±0.1ms          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.47±0.04s           | 1.47±0.01s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.46±0.04s           | 1.45±0.02s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 12.1±0.2ms           | 12.1±0.1ms          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.49±0.04s           | 1.48±0s             |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.17±0.06ms          | 5.19±0.03ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.8±0.03ms          | 11.8±0.06ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.23±0.08ms          | 5.12±0.03ms         |    0.98 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.08±0.09ms          | 5.15±0.05ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.7±0.1ms           | 11.8±0.08ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.07±0.2ms           | 5.11±0.01ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 23.3±1ms             | 22.9±0.8ms          |    0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 27.5±0.6ms           | 27.2±0.2ms          |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 12.2±1ms             | 12.1±1ms            |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 28.6±0.6ms           | 28.3±1ms            |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 70.6±3ms             | 70.9±3ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 28.1±1ms             | 28.2±1ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 606±7ms              | 600±2ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.42±0.1ms           | 3.35±0.07ms         |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 606±7ms              | 603±2ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 622±4ms              | 612±3ms             |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.52±0.2ms           | 3.38±0.09ms         |    0.96 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 615±8ms              | 611±2ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.12±0.05ms          | 2.09±0.09ms         |    0.99 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.49±0.2ms           | 3.36±0.1ms          |    0.96 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.15±0.09ms          | 2.04±0.05ms         |    0.95 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.05±0.05ms          | 2.12±0.08ms         |    1.04 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.54±0.1ms           | 3.46±0.07ms         |    0.98 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.16±0.09ms          | 2.07±0.07ms         |    0.96 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 343±0.8ms            | 344±4ms             |    1    | load.ManyCubes.time_many_cube_load                                                          |
|          | 88.1±0.2ms           | 87.8±0.4ms          |    1    | load.ManyVars.time_many_var_load                                                            |
|          | 9.72±0.2ms           | 9.82±0.09ms         |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 9.81±0.2ms           | 9.80±0.02ms         |    1    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.45±0.04s           | 1.46±0.01s          |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.48±0.04s           | 1.48±0.01s          |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.26±0.1ms           | 5.15±0.03ms         |    0.98 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.18±0.1ms           | 5.17±0.02ms         |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 8.80±0.05ms          | 8.69±0.06ms         |    0.99 | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.50±0.03ms          | 5.59±0.02ms         |    1.02 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.45±0.02s           | 1.44±0.02s          |    1    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 420±6ms              | 423±5ms             |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.22±0.04ms          | 4.25±0.02ms         |    1.01 | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.15±0.03ms          | 4.18±0.03ms         |    1.01 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 157±2ms              | 157±2ms             |    1    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 14.8±0.2ms           | 15.0±0.1ms          |    1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 160±2ms              | 159±1ms             |    1    | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 31.5±0.7ms           | 31.8±0.3ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 14.6±0.1ms           | 14.7±0.1ms          |    1    | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 32.1±0.6ms           | 31.9±0.6ms          |    0.99 | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 15.0±0.3ms           | 15.5±0.4ms          |    1.04 | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 45.2±1ms             | 45.6±0.7ms          |    1.01 | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 8.79±0.2ms           | 8.81±0.09ms         |    1    | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 16.1±0.4ms           | 15.8±0.5ms          |    0.98 | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 14.9±0.3ms           | 15.0±0.5ms          |    1.01 | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 15.1±0.2ms           | 14.8±0.6ms          |    0.98 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 8.78±0.2ms           | 8.88±0.2ms          |    1.01 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 11.2±0.2ms           | 11.3±0.2ms          |    1.01 | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 16.0±0.2ms           | 16.2±0.2ms          |    1.01 | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 55.9±0.6ms           | 55.6±0.9ms          |    0.99 | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 16.2±0.3ms           | 15.9±0.3ms          |    0.98 | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 17.3±0.5ms           | 17.0±0.5ms          |    0.99 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.34±0.1ms           | 3.22±0.06ms         |    0.97 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 4.50±0.9ms           | 4.77±0.9ms          |    1.06 | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 35.4±0.7ms           | 35.7±1ms            |    1.01 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 783±8ms              | 796±10ms            |    1.02 | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.56±0.03s           | 1.55±0.03s          |    0.99 | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 431±6ms              | 429±6ms             |    0.99 | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 120±6M               | 115±5M              |    0.96 | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 36.4±3ms             | 35.0±3ms            |    0.96 | merge_concat.Merge.time_merge                                                               |
|          | 126±0.02M            | 126±0.02M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 197±2ms              | 197±1ms             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 772±0.5k             | 771±0.5k            |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60.2±0M              | 60.2±0M             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 16.6±0.3ms           | 16.4±0.1ms          |    0.99 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 20.0±0.2ms           | 19.6±0.4ms          |    0.98 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 1.27±0.04M           | 1.27±0.04M          |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 25±0.04M             | 25±0.04M            |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 116±2ms              | 118±2ms             |    1.02 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 581±6ms              | 581±6ms             |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.47±0.08M           | 1.49±0.02M          |    1.02 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.5±0.01M           | 96.5±0.02M          |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 76.4±0.5ms           | 76.0±0.6ms          |    0.99 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 535±5ms              | 537±3ms             |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.46±0.04M           | 1.43±0.02M          |    0.98 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.4±0.04M           | 96.5±0.02M          |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_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)                 |
|          | 6.81±0.1ms           | 6.73±0.09ms         |    0.99 | plot.AuxSort.time_aux_sort                                                                  |
|          | 78.6±5ms             | 80.5±2ms            |    1.02 | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 107±4ms              | 104±6ms             |    0.98 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 58.3±0.6ms           | 58.5±0.6ms          |    1    | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.06M            | 107±0.06M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.70±0.02ms          | 4.75±0.05ms         |    1.01 | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 80.4±0.7ms           | 79.9±0.8ms          |    0.99 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 41.9±0.6ms           | 41.6±0.6ms          |    0.99 | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 478±5ms              | 474±3ms             |    0.99 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 87.1±1ns             | 87.0±1ns            |    1    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 62.8±0.4ms           | 63.6±1ms            |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 87.1±0.7ns           | 87.3±1ns            |    1    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 422±6ms              | 418±3ms             |    0.99 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.5±0.4k            | 31.7±0.5k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.9±0.09M            | 1.67±0.1M           |    0.88 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 31.5±0.5k            | 31.5±0.4k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 225±20M              | 191±20M             |    0.85 | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 39.6±0.4ms           | 39.1±0.2ms          |    0.99 | stats.PearsonR.time_lazy                                                                    |
|          | 9.19±0.1ms           | 9.26±0.1ms          |    1.01 | stats.PearsonR.time_real                                                                    |
|          | 29.4±0.2M            | 29.5±0.2M           |    1    | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.4±0.01M           | 18.4±0.01M          |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 24.4±0.4ms           | 24.9±0.5ms          |    1.02 | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 61.0±0.9ms           | 61.5±0.5ms          |    1.01 | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.75±0.02M           | 7.75±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Generated by GHA run 15390732305

@trexfeathers trexfeathers mentioned this pull request Jun 2, 2025
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ukmo-ccbunney reviewed Jun 3, 2025
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This is awesome work - especially as its not as simple to implement in some places as we might have first thought. Nice one @trexfeathers! 💯
LGTM!

@ukmo-ccbunney ukmo-ccbunney dismissed scitools-ci[bot]’s stale review June 3, 2025 15:47

Issue SciTools/.github#146 raised by scitools-ci[bot] for templated file change.

@ukmo-ccbunney ukmo-ccbunney merged commit 7ce8d43 into SciTools:main Jun 3, 2025
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benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts Feature: NetCDF + CF-conventions Release: Minor Type: Enhancement
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Capture ALL un-loadable NetCDF objects
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