Lazy encoding by pp-mo · Pull Request #7290 · SciTools/iris

pp-mo · 2026-09-22T14:51:56Z

Revived from #7281
but rebased against v3.16.x

@ESadek-MO

* Add unit tests for Cube.coord_dims * Add What's New changelog fragment for SciTools#4552 * Refactor Test_coord_dims._setup for readability Address review feedback from @ESadek-MO: - Move hybrid-height set-up into the single test that uses it - Group _setup into clear blocks: cube → DimCoords → AuxCoords → assigns * Move hybrid-height set-up into a dedicated fixture Address review feedback from @ESadek-MO on SciTools#7198: move the hybrid-height construction (delta/sigma/orography, HybridHeightFactory, add_aux_factory) out of the test body and into its own pytest fixture, so that set-up failures can be isolated by PyTest. --------- Co-authored-by: 01luyicheng <01luyicheng@users.noreply.github.com>

Bumps the gha group with 9 updates in the / directory: | Package | From | To | | --- | --- | --- | | [actions/checkout](https://github.com/actions/checkout) | `7.0.0` | `7.0.1` | | [actions/setup-python](https://github.com/actions/setup-python) | `6.3.0` | `7.0.0` | | [lycheeverse/lychee-action](https://github.com/lycheeverse/lychee-action) | `2.8.0` | `2.9.0` | | [scitools/workflows/.github/workflows/ci-manifest.yml](https://github.com/scitools/workflows) | `2026.06.0` | `2026.07.1` | | [scitools/workflows/.github/workflows/ci-template-check.yml](https://github.com/scitools/workflows) | `2026.06.0` | `2026.07.1` | | [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) | `1.14.0` | `1.14.2` | | [actions/labeler](https://github.com/actions/labeler) | `6.1.0` | `7.0.0` | | [scitools/workflows/.github/workflows/refresh-lockfiles.yml](https://github.com/scitools/workflows) | `2026.06.0` | `2026.07.1` | | [actions/stale](https://github.com/actions/stale) | `10.3.0` | `11.0.0` | Updates `actions/checkout` from 7.0.0 to 7.0.1 - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](actions/checkout@9c091bb...3d3c42e) Updates `actions/setup-python` from 6.3.0 to 7.0.0 - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](actions/setup-python@ece7cb0...5fda3b9) Updates `lycheeverse/lychee-action` from 2.8.0 to 2.9.0 - [Release notes](https://github.com/lycheeverse/lychee-action/releases) - [Commits](lycheeverse/lychee-action@8646ba3...e747777) Updates `scitools/workflows/.github/workflows/ci-manifest.yml` from 2026.06.0 to 2026.07.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@1f21414...7c41342) Updates `scitools/workflows/.github/workflows/ci-template-check.yml` from 2026.06.0 to 2026.07.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@1f21414...7c41342) Updates `pypa/gh-action-pypi-publish` from 1.14.0 to 1.14.2 - [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases) - [Commits](pypa/gh-action-pypi-publish@cef2210...dc37677) Updates `actions/labeler` from 6.1.0 to 7.0.0 - [Release notes](https://github.com/actions/labeler/releases) - [Commits](actions/labeler@f27b608...bf12e9b) Updates `scitools/workflows/.github/workflows/refresh-lockfiles.yml` from 2026.06.0 to 2026.07.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@1f21414...7c41342) Updates `actions/stale` from 10.3.0 to 11.0.0 - [Release notes](https://github.com/actions/stale/releases) - [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md) - [Commits](actions/stale@eb5cf3a...4391f3d) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: 7.0.1 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: gha - dependency-name: actions/labeler dependency-version: 7.0.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: gha - dependency-name: actions/setup-python dependency-version: 7.0.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: gha - dependency-name: actions/stale dependency-version: 10.4.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: gha - dependency-name: lycheeverse/lychee-action dependency-version: 2.9.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: gha - dependency-name: pypa/gh-action-pypi-publish dependency-version: 1.14.1 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: gha - dependency-name: scitools/workflows/.github/workflows/ci-manifest.yml dependency-version: 2026.07.1 dependency-type: direct:production dependency-group: gha - dependency-name: scitools/workflows/.github/workflows/ci-template-check.yml dependency-version: 2026.07.1 dependency-type: direct:production dependency-group: gha - dependency-name: scitools/workflows/.github/workflows/refresh-lockfiles.yml dependency-version: 2026.07.1 dependency-type: direct:production dependency-group: gha ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps the gha group with 3 updates in the / directory: [scitools/workflows/.github/workflows/ci-manifest.yml](https://github.com/scitools/workflows), [scitools/workflows/.github/workflows/ci-template-check.yml](https://github.com/scitools/workflows) and [scitools/workflows/.github/workflows/refresh-lockfiles.yml](https://github.com/scitools/workflows). Updates `scitools/workflows/.github/workflows/ci-manifest.yml` from 2026.07.1 to 2026.08.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@7c41342...28aea7a) Updates `scitools/workflows/.github/workflows/ci-template-check.yml` from 2026.07.1 to 2026.08.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@7c41342...28aea7a) Updates `scitools/workflows/.github/workflows/refresh-lockfiles.yml` from 2026.07.1 to 2026.08.1 - [Release notes](https://github.com/scitools/workflows/releases) - [Commits](SciTools/workflows@7c41342...28aea7a) --- updated-dependencies: - dependency-name: scitools/workflows/.github/workflows/ci-manifest.yml dependency-version: 2026.08.1 dependency-type: direct:production dependency-group: gha - dependency-name: scitools/workflows/.github/workflows/ci-template-check.yml dependency-version: 2026.08.1 dependency-type: direct:production dependency-group: gha - dependency-name: scitools/workflows/.github/workflows/refresh-lockfiles.yml dependency-version: 2026.08.1 dependency-type: direct:production dependency-group: gha ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix TEST_DATA_DIR default behaviour * add whatsnew

* Add option for steps in Cube rolling windows * Add changelog entry

* CI compatibility with PROJ 9.8. * review comments (#97) --------- Co-authored-by: Elias <110238618+ESadek-MO@users.noreply.github.com>

* Updated environment lockfiles * Temporary gallery test fix. * Revert "Temporary gallery test fix." This reverts commit 6403701. * Skip Proj 9.8 incompatible gallery tests. Proven by SciTools/iris@6403701. * Modernise graphics tests. * What's New entry. --------- Co-authored-by: Lockfile bot <noreply@github.com> Co-authored-by: Elias <110238618+ESadek-MO@users.noreply.github.com>

…#7269)

* Move developers' conda yml to environment.yml * Fix readthedocs.yml * Add environment.yml to manifest

…hod.

…zy data.

…s in '_lazy_stream_data'.

github-actions · 2026-09-22T16:16:52Z

⏱️ Performance Benchmark Report: `0fb891d`

Performance shifts

| Change   | Before [a33dcb7e]    | After [0fb891da]    |   Ratio | Benchmark (Parameter)                                |
|----------|----------------------|---------------------|---------|------------------------------------------------------|
| -        | 2.69±0.5ms           | 2.17±0.02ms         |    0.8  | import_iris.Iris.time_std_names                      |
| -        | 73.5±6μs             | 44.4±0.8μs          |    0.6  | iterate.IZip.time_izip                               |
| -        | 11.1±0.4ms           | 9.06±0.3ms          |    0.82 | load.ugrid.BasicLoading.time_load_mesh(1)            |
| -        | 4.99±0.3ms           | 4.01±0.1ms          |    0.8  | load.ugrid.DataRealisation.time_realise_data(200000) |
| -        | 42.4±20ms            | 19.6±0.6ms          |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, False)    |
| Change   | Before [a33dcb7e]    | After [0fb891da]    |    Ratio | Benchmark (Parameter)                                                          |
|----------|----------------------|---------------------|----------|--------------------------------------------------------------------------------|
| +        | 315±30μs             | 424±20μs            |     1.34 | cube.CubeCreation.time_create(False, 'instantiate')                            |
| +        | 15.2±1μs             | 65.5±4μs            |     4.3  | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')           |
| +        | 15.2±1μs             | 72.8±9μs            |     4.8  | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')            |
| +        | 41.8±3μs             | 76.6±1μs            |     1.83 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')            |
| +        | 264±20μs             | 336±8μs             |     1.27 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')             |
| +        | 366±3ns              | 5.34±0.06ms         | 14591.9  | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) |
| +        | 99.2±8ns             | 1.13±0.2μs          |    11.42 | save.NetcdfSave.time_netcdf_save_mesh(50, False)                               |
| +        | 98.8±7ns             | 2.70±0.3μs          |    27.37 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                              |

Full benchmark results


Benchmarks that have improved:

| Change   | Before [a33dcb7e]    | After [0fb891da]    |   Ratio | Benchmark (Parameter)                                |
|----------|----------------------|---------------------|---------|------------------------------------------------------|
| -        | 2.69±0.5ms           | 2.17±0.02ms         |    0.8  | import_iris.Iris.time_std_names                      |
| -        | 73.5±6μs             | 44.4±0.8μs          |    0.6  | iterate.IZip.time_izip                               |
| -        | 11.1±0.4ms           | 9.06±0.3ms          |    0.82 | load.ugrid.BasicLoading.time_load_mesh(1)            |
| -        | 4.99±0.3ms           | 4.01±0.1ms          |    0.8  | load.ugrid.DataRealisation.time_realise_data(200000) |
| -        | 42.4±20ms            | 19.6±0.6ms          |    0.46 | save.NetcdfSave.time_netcdf_save_cube(600, False)    |

Benchmarks that have stayed the same:

| Change   | Before [a33dcb7e]    | After [0fb891da]    | Ratio   | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 20.0±1ms             | 18.4±2ms            | 0.92    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 48.6±4ms             | 46.8±1ms            | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 33.2±4ms             | 30.3±2ms            | 0.91    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 152±10ms             | 144±0.6ms           | 0.95    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.2±2ms             | 20.4±1ms            | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 28.5±2ms             | 27.4±0.5ms          | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 22.7±2ms             | 20.6±1ms            | 0.91    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 29.0±2ms             | 27.7±0.4ms          | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.2±2ms             | 18.2±1ms            | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 42.3±3ms             | 39.1±0.9ms          | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 124±9ms              | 120±1ms             | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 120±10ms             | 117±0.7ms           | 0.97    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.0±2ms             | 19.4±2ms            | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 49.6±4ms             | 42.8±2ms            | 0.86    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 23.5±2ms             | 20.7±2ms            | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 52.3±4ms             | 50.9±0.6ms          | 0.97    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 20.8±2ms             | 18.2±2ms            | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 41.0±4ms             | 39.1±0.8ms          | 0.95    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 933±70ms             | 925±8ms             | 0.99    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 913±90ms             | 911±7ms             | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 164±20ms             | 164±2ms             | 1.00    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 285±20ms             | 270±5ms             | 0.95    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 22.1±2ms             | 19.1±1ms            | 0.87    | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 27.7±2ms             | 25.6±0.4ms          | 0.93    | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 22.2±2ms             | 19.5±2ms            | 0.88    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 60.7±4ms             | 51.5±0.8ms          | 0.85    | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 22.3±3ms             | 19.9±2ms            | 0.90    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 57.1±5ms             | 54.8±1ms            | 0.96    | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 22.4±3ms             | 20.0±2ms            | 0.89    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 53.7±4ms             | 52.4±1ms            | 0.97    | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 6.78±0.6ms           | 6.70±0.03ms         | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 20.6±2ms             | 19.2±0.4ms          | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 17.1±1ms             | 16.9±0.1ms          | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 115±10ms             | 108±2ms             | 0.94    | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 7.23±0.6ms           | 7.08±0.09ms         | 0.98    | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 18.0±2ms             | 17.3±0.3ms          | 0.96    | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 7.00±0.6ms           | 6.97±0.07ms         | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 18.0±2ms             | 17.2±0.3ms          | 0.96    | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 6.48±0.6ms           | 6.59±0.04ms         | 1.02    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 18.3±2ms             | 17.7±0.4ms          | 0.97    | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 26.5±3ms             | 23.3±2ms            | 0.88    | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 32.7±3ms             | 31.0±0.6ms          | 0.95    | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 6.90±0.5ms           | 6.84±0.08ms         | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 19.1±1ms             | 18.1±0.4ms          | 0.95    | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 7.91±0.6ms           | 7.84±0.08ms         | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 21.2±2ms             | 20.4±0.6ms          | 0.96    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 6.50±0.6ms           | 6.50±0.05ms         | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 18.3±2ms             | 17.8±0.4ms          | 0.97    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 577±60ms             | 575±2ms             | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 595±50ms             | 597±6ms             | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 36.6±3ms             | 35.4±0.2ms          | 0.97    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 125±10ms             | 117±2ms             | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 6.80±0.5ms           | 6.84±0.05ms         | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 18.4±1ms             | 16.9±0.4ms          | 0.92    | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 6.97±0.5ms           | 6.89±0.05ms         | 0.99    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 20.4±2ms             | 19.3±0.4ms          | 0.94    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 7.05±0.5ms           | 7.08±0.04ms         | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 20.6±2ms             | 19.2±0.4ms          | 0.93    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 7.13±0.5ms           | 7.14±0.08ms         | 1.00    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 19.8±2ms             | 18.8±0.5ms          | 0.95    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 22.6±3ms             | 20.1±2ms            | 0.89    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 74.5±6ms             | 73.4±1ms            | 0.99    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 22.3±3ms             | 20.0±1ms            | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 85.4±7ms             | 85.0±0.9ms          | 1.00    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 20.8±2ms             | 18.7±2ms            | 0.90    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 49.9±4ms             | 48.3±0.9ms          | 0.97    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 7.08±0.6ms           | 7.27±0.05ms         | 1.03    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 24.5±2ms             | 23.7±0.7ms          | 0.97    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 6.89±0.5ms           | 7.01±0.03ms         | 1.02    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 26.1±2ms             | 25.4±0.7ms          | 0.98    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 6.76±0.6ms           | 6.80±0.03ms         | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 20.1±2ms             | 19.7±0.6ms          | 0.98    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 151±10ms             | 152±2ms             | 1.01    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 215±30ms             | 214±3ms             | 1.00    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 943±70μs             | 1.05±0.01ms         | 1.11    | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 1.51±0.1ms           | 1.57±0.02ms         | 1.03    | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 1.03±0.08ms          | 1.17±0.03ms         | 1.13    | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 80.2±9ms             | 77.1±2ms            | 0.96    | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 25.3±3ms             | 23.4±1ms            | 0.92    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 92.7±9ms             | 87.0±3ms            | 0.94    | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 79.4±6ms             | 77.6±0.9ms          | 0.98    | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 26.5±2ms             | 25.4±0.7ms          | 0.96    | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 92.1±5ms             | 89.2±2ms            | 0.97    | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 154±10ms             | 145±6ms             | 0.94    | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 64.3±7ms             | 60.7±2ms            | 0.94    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 176±20ms             | 173±4ms             | 0.98    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 224±10ms             | 205±10ms            | 0.92    | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 135±10ms             | 120±4ms             | 0.89    | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 258±10ms             | 234±2ms             | 0.91    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 801±60μs             | 774±10μs            | 0.97    | import_iris.Iris.time__concatenate                                                          |
|          | 154±10μs             | 154±5μs             | 1.00    | import_iris.Iris.time__constraints                                                          |
|          | 89.8±7μs             | 85.0±1μs            | 0.95    | import_iris.Iris.time__data_manager                                                         |
|          | 70.2±5μs             | 69.9±0.6μs          | 1.00    | import_iris.Iris.time__deprecation                                                          |
|          | 133±10μs             | 130±1μs             | 0.98    | import_iris.Iris.time__lazy_data                                                            |
|          | 911±60μs             | 868±9μs             | 0.95    | import_iris.Iris.time__merge                                                                |
|          | 53.8±4μs             | 53.2±0.2μs          | 0.99    | import_iris.Iris.time__representation                                                       |
|          | 618±40μs             | 588±7μs             | 0.95    | import_iris.Iris.time_analysis                                                              |
|          | 104±9μs              | 102±1μs             | 0.99    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 90.0±4μs             | 87.8±0.8μs          | 0.98    | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 247±10μs             | 231±2μs             | 0.93    | import_iris.Iris.time_analysis__interpolation                                               |
|          | 162±10μs             | 153±2μs             | 0.94    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 80.2±6μs             | 78.2±2μs            | 0.97    | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 103±7μs              | 101±1μs             | 0.97    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 307±20μs             | 300±2μs             | 0.98    | import_iris.Iris.time_analysis_cartography                                                  |
|          | 61.1±5μs             | 60.3±0.5μs          | 0.99    | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 182±8μs              | 173±1μs             | 0.95    | import_iris.Iris.time_analysis_maths                                                        |
|          | 62.6±5μs             | 61.4±0.5μs          | 0.98    | import_iris.Iris.time_analysis_stats                                                        |
|          | 142±8μs              | 136±2μs             | 0.96    | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 298±20μs             | 280±6μs             | 0.94    | import_iris.Iris.time_aux_factory                                                           |
|          | 57.7±5μs             | 57.6±0.4μs          | 1.00    | import_iris.Iris.time_common                                                                |
|          | 133±10μs             | 127±4μs             | 0.96    | import_iris.Iris.time_common_lenient                                                        |
|          | 1.45±0.1ms           | 1.40±0.02ms         | 0.97    | import_iris.Iris.time_common_metadata                                                       |
|          | 154±10μs             | 146±1μs             | 0.95    | import_iris.Iris.time_common_mixin                                                          |
|          | 1.17±0.09ms          | 1.16±0.01ms         | 1.00    | import_iris.Iris.time_common_resolve                                                        |
|          | 208±10μs             | 212±2μs             | 1.02    | import_iris.Iris.time_config                                                                |
|          | 95.3±8μs             | 93.1±1μs            | 0.98    | import_iris.Iris.time_coord_categorisation                                                  |
|          | 400±20μs             | 346±4μs             | 0.86    | import_iris.Iris.time_coord_systems                                                         |
|          | 844±60μs             | 819±10μs            | 0.97    | import_iris.Iris.time_coords                                                                |
|          | 758±50μs             | 720±10μs            | 0.95    | import_iris.Iris.time_cube                                                                  |
|          | 230±10μs             | 215±2μs             | 0.93    | import_iris.Iris.time_exceptions                                                            |
|          | 53.9±5μs             | 53.5±0.4μs          | 0.99    | import_iris.Iris.time_experimental                                                          |
|          | 154±10μs             | 150±0.9μs           | 0.98    | import_iris.Iris.time_fileformats                                                           |
|          | 227±20μs             | 221±4μs             | 0.97    | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.72±0.2ms           | 2.52±0.01ms         | 0.93    | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 51.6±4μs             | 51.5±0.5μs          | 1.00    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 84.5±4μs             | 78.6±0.9μs          | 0.93    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 449±30μs             | 405±6μs             | 0.90    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 5.67±0.5ms           | 4.81±0.04ms         | 0.85    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 48.1±4μs             | 47.6±0.3μs          | 0.99    | import_iris.Iris.time_fileformats_name                                                      |
|          | 230±10μs             | 229±2μs             | 1.00    | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 86.8±6μs             | 87.4±1μs            | 1.01    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 122±10μs             | 124±2μs             | 1.02    | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 289±20μs             | 283±3μs             | 0.98    | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 811±70μs             | 790±6μs             | 0.97    | import_iris.Iris.time_fileformats_pp                                                        |
|          | 142±8μs              | 140±3μs             | 0.99    | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 95.6±9μs             | 94.2±0.9μs          | 0.98    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 554±30μs             | 510±5μs             | 0.92    | import_iris.Iris.time_fileformats_rules                                                     |
|          | 216±10μs             | 206±2μs             | 0.95    | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 58.3±5μs             | 57.9±0.8μs          | 0.99    | import_iris.Iris.time_fileformats_um                                                        |
|          | 124±8μs              | 122±2μs             | 0.98    | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 115±4μs              | 103±3μs             | 0.90    | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 49.5±4μs             | 48.1±0.1μs          | 0.97    | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 53.4±3μs             | 52.4±0.4μs          | 0.98    | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 1.03±0.06ms          | 940±8μs             | 0.91    | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 112±8μs              | 107±0.9μs           | 0.96    | import_iris.Iris.time_io                                                                    |
|          | 153±9μs              | 143±3μs             | 0.94    | import_iris.Iris.time_io_format_picker                                                      |
|          | 169±10μs             | 166±2μs             | 0.98    | import_iris.Iris.time_iris                                                                  |
|          | 94.6±9μs             | 91.7±2μs            | 0.97    | import_iris.Iris.time_iterate                                                               |
|          | 31.6±2ms             | 31.2±0.1ms          | 0.99    | import_iris.Iris.time_palette                                                               |
|          | 2.11±0.1ms           | 1.88±0.04ms         | 0.89    | import_iris.Iris.time_plot                                                                  |
|          | 250±30μs             | 237±20μs            | 0.95    | import_iris.Iris.time_quickplot                                                             |
|          | 1.64±0.1ms           | 1.57±0.01ms         | 0.96    | import_iris.Iris.time_symbols                                                               |
|          | 117±4ms              | 105±10ms            | 0.90    | import_iris.Iris.time_tests                                                                 |
|          | 187±10μs             | 201±1μs             | 1.07    | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.19±0.3ms           | 5.10±0.05ms         | 0.98    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 94.3±7μs             | 91.5±0.7μs          | 0.97    | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.62±0.2ms           | 2.53±0.01ms         | 0.96    | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 503±50μs             | 491±20μs            | 0.97    | import_iris.Iris.time_third_party_numpy                                                     |
|          | 139±10μs             | 137±3μs             | 0.99    | import_iris.Iris.time_third_party_scipy                                                     |
|          | 71.8±6μs             | 67.7±0.9μs          | 0.94    | import_iris.Iris.time_time                                                                  |
|          | 881±70μs             | 853±7μs             | 0.97    | import_iris.Iris.time_util                                                                  |
|          | 8.93±0.06ms          | 8.83±0.02ms         | 0.99    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 16.0±0.2ms           | 15.2±0.4ms          | 0.95    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 8.81±0.02ms          | 8.79±0.06ms         | 1.00    | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 8.86±0.06ms          | 8.92±0.06ms         | 1.01    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.0±0.1ms           | 12.9±0.1ms          | 0.99    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 8.83±0.03ms          | 8.72±0.05ms         | 0.99    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.32±0.01s           | 1.32±0.01s          | 1.00    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.0±0.08ms          | 11.9±0.03ms         | 1.00    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.29±0.01s           | 1.28±0.01s          | 0.99    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.31±0.01s           | 1.31±0.01s          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 11.9±0.06ms          | 12.0±0.1ms          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.27±0.01s           | 1.29±0.01s          | 1.01    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 4.77±0.05ms          | 4.80±0.03ms         | 1.01    | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.8±0.1ms           | 11.7±0.2ms          | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 4.57±0.01ms          | 4.62±0.06ms         | 1.01    | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 4.75±0.04ms          | 4.79±0.05ms         | 1.01    | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.8±0.2ms           | 11.7±0.09ms         | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 4.66±0.05ms          | 4.60±0.04ms         | 0.99    | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 20.2±0.6ms           | 20.3±1ms            | 1.01    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 17.3±0.8ms           | 17.7±0.2ms          | 1.02    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 13.0±1ms             | 12.5±0.7ms          | 0.96    | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 29.8±1ms             | 30.3±1ms            | 1.02    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 86.1±0.8ms           | 75.6±0.1ms          | 0.88    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 29.1±2ms             | 29.0±1ms            | 1.00    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 559±5ms              | 557±3ms             | 1.00    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.17±0.1ms           | 3.02±0.05ms         | 0.95    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 563±2ms              | 565±7ms             | 1.00    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 568±4ms              | 572±3ms             | 1.01    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.14±0.1ms           | 3.08±0.02ms         | 0.98    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 573±4ms              | 566±3ms             | 0.99    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.00±0.06ms          | 2.04±0.08ms         | 1.02    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.03±0.2ms           | 3.18±0.07ms         | 1.05    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.01±0.03ms          | 2.06±0.08ms         | 1.03    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.06±0.08ms          | 2.07±0.04ms         | 1.01    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.37±0.2ms           | 3.11±0.1ms          | 0.92    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.05±0.04ms          | 2.09±0.07ms         | 1.02    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 323±2ms              | 323±2ms             | 1.00    | load.ManyCubes.time_many_cube_load                                                          |
|          | 86.7±1ms             | 85.5±0.5ms          | 0.99    | load.ManyVars.time_many_var_load                                                            |
|          | 8.97±0.07ms          | 8.97±0.06ms         | 1.00    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 8.83±0.04ms          | 8.77±0.1ms          | 0.99    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.30±0.01s           | 1.32±0.02s          | 1.02    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.26±0.01s           | 1.29±0.01s          | 1.03    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 4.79±0.04ms          | 4.79±0.01ms         | 1.00    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 4.65±0.02ms          | 4.66±0.02ms         | 1.00    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 8.05±0.04ms          | 8.10±0.09ms         | 1.01    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.12±0.03ms          | 5.20±0.04ms         | 1.01    | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.28±0.01s           | 1.29±0.01s          | 1.01    | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 368±5ms              | 373±2ms             | 1.01    | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.02±0.03ms          | 4.01±0.02ms         | 1.00    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 3.90±0.02ms          | 3.92±0.02ms         | 1.00    | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 136±1ms              | 136±2ms             | 1.00    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 13.9±0.2ms           | 14.1±0.3ms          | 1.01    | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 135±2ms              | 134±3ms             | 0.99    | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 27.4±0.3ms           | 27.4±0.2ms          | 1.00    | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 13.8±0.2ms           | 14.0±0.2ms          | 1.01    | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 26.7±0.2ms           | 27.0±0.3ms          | 1.01    | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 19.9±1ms             | 17.8±0.2ms          | 0.89    | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 48.1±4ms             | 46.1±0.5ms          | 0.96    | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 19.9±0.9ms           | 16.3±0.9ms          | ~0.82   | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 19.7±1ms             | 17.9±0.1ms          | 0.91    | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 21.6±0.5ms           | 18.4±0.5ms          | 0.85    | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 10.7±0.5ms           | 9.07±0.05ms         | 0.85    | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 13.6±0.6ms           | 11.9±0.3ms          | 0.87    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 22.4±1ms             | 19.6±0.2ms          | 0.88    | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 64.8±3ms             | 57.8±1ms            | 0.89    | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 23.2±1ms             | 19.6±0.2ms          | 0.85    | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 25.1±1ms             | 21.6±0.4ms          | 0.86    | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.72±0.3ms           | 3.12±0.07ms         | 0.84    | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 55.7±4ms             | 48.0±2ms            | 0.86    | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 1.27±0.04s           | 1.16±0.01s          | 0.92    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 904±30ms             | 855±3ms             | 0.95    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 412±30ms             | 384±3ms             | 0.93    | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.21±0G              | 2.21±0G             | 1.00    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 71.7±4M              | 71.7±2M             | 1.00    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 34.5±3ms             | 29.3±2ms            | 0.85    | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           | 1.00    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 151±0.8ms            | 149±3ms             | 0.99    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 769±3k               | 769±3k              | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60.2±0M              | 60.2±0M             | 1.00    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 16.6±0.1ms           | 16.7±0.2ms          | 1.00    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 19.9±0.4ms           | 19.8±0.2ms          | 1.00    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 821±2k               | 822±2k              | 1.00    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 24.6±0M              | 24.6±0M             | 1.00    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 96.4±2ms             | 96.7±2ms            | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 368±6ms              | 371±3ms             | 1.01    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.46±0.09M           | 1.46±0.09M          | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.5±0.03M           | 96.5±0.05M          | 1.00    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 65.2±0.6ms           | 65.4±1ms            | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 334±5ms              | 338±3ms             | 1.01    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.39±0.03M           | 1.36±0.04M          | 0.98    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.4±0.03M           | 96.4±0.03M          | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(500)                     |
|          | 2.175361             | 2.175361            | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(50)                  |
|          | 216.01536099999998   | 216.01536099999998  | 1.00    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(500)                 |
|          | 6.80±0.5ms           | 6.44±0.04ms         | 0.95    | plot.AuxSort.time_aux_sort                                                                  |
|          | 52.6±0.7ms           | 48.1±0.7ms          | 0.91    | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              | 1.00    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 101±10ms             | 87.2±7ms            | 0.86    | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 57.3±2ms             | 54.2±0.9ms          | 0.94    | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.09M            | 107±0.09M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.03M            | 147±0.03M           | 1.00    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 5.07±0.2ms           | 4.58±0.06ms         | 0.90    | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 81.2±5ms             | 70.8±1ms            | 0.87    | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 261±10ms             | 251±3ms             | 0.96    | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 58.3±4ms             | 54.2±1ms            | 0.93    | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 225±9ms              | 219±2ms             | 0.97    | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.4±1k              | 31.4±1k             | 1.00    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.76±0.2M            | 1.86±0.1M           | 1.06    | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 31.5±1k              | 31.6±1k             | 1.01    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 208±20M              | 225±30M             | 1.08    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 38.9±2ms             | 37.5±0.1ms          | 0.96    | stats.PearsonR.time_lazy                                                                    |
|          | 8.94±0.5ms           | 8.60±0.05ms         | 0.96    | stats.PearsonR.time_real                                                                    |
|          | 29.3±1M              | 29.3±1M             | 1.00    | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0M              | 18.3±0M             | 1.00    | stats.PearsonR.tracemalloc_real                                                             |
|          | 22.9±0.5ms           | 22.1±0.7ms          | 0.97    | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 78.7±0.4ms           | 79.6±0.7ms          | 1.01    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.01M           | 17.6±0.01M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.74±0.01M           | 7.74±0.01M          | 1.00    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Benchmarks that have got worse:

| Change   | Before [a33dcb7e]    | After [0fb891da]    |    Ratio | Benchmark (Parameter)                                                          |
|----------|----------------------|---------------------|----------|--------------------------------------------------------------------------------|
| +        | 315±30μs             | 424±20μs            |     1.34 | cube.CubeCreation.time_create(False, 'instantiate')                            |
| +        | 15.2±1μs             | 65.5±4μs            |     4.3  | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')           |
| +        | 15.2±1μs             | 72.8±9μs            |     4.8  | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')            |
| +        | 41.8±3μs             | 76.6±1μs            |     1.83 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')            |
| +        | 264±20μs             | 336±8μs             |     1.27 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')             |
| +        | 366±3ns              | 5.34±0.06ms         | 14591.9  | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) |
| +        | 99.2±8ns             | 1.13±0.2μs          |    11.42 | save.NetcdfSave.time_netcdf_save_mesh(50, False)                               |
| +        | 98.8±7ns             | 2.70±0.3μs          |    27.37 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                              |

Generated by GHA run 35743302129

HGWright and others added 24 commits September 22, 2026 15:50

undo the whatsnew changes

5ff2ec8

fix for doctest warnings

d855b02

Fix TEST_DATA_DIR default behaviour (SciTools#7257)

431c44d

* fix TEST_DATA_DIR default behaviour * add whatsnew

Add option for steps in Cube rolling windows (SciTools#7236)

17e4b50

* Add option for steps in Cube rolling windows * Add changelog entry

CI compatibility with PROJ 9.8 (SciTools#7254)

78b1aa8

* CI compatibility with PROJ 9.8. * review comments (#97) --------- Co-authored-by: Elias <110238618+ESadek-MO@users.noreply.github.com>

DOC BLD: get scipy objects inventory from their static site (SciTools…

847a24d

…#7269)

Move developers' conda yml to environment.yml (SciTools#7267)

c52ac36

* Move developers' conda yml to environment.yml * Fix readthedocs.yml * Add environment.yml to manifest

Add code trial for encode/decode of lazy data.

efc3636

Some extra debug.

618f782

Apply encode/decode to load/save shortcutting, and support lazy data.

accf711

Small changes to support scalar character variables.

3ca7508

Replace complex VariableEncoder constructor with a .from_var classmet…

01cd07e

…hod.

Apply scalar adjustment whether lazy or real.

41dee36

Remove debug print.

ae75591

Extend get_cf_var to test dataset-shortcutting of strings and real/la…

a28c4bd

…zy data.

Fix typo in tests.

23deb63

Remove temporary tests.

ced7d72

With CoPilot: tests for handling of ncdata-style direct data transfer…

d51609b

…s in '_lazy_stream_data'.

Added changelog fragment.

732ae6f

Review changes.

d2632f0

github-actions Bot added the benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts label Sep 22, 2026

scitools-ci Bot added this to 🚴 Peloton Sep 23, 2026

Navigation Menu

Lazy encoding - #7290

Lazy encoding#7290
pp-mo wants to merge 24 commits into
SciTools:v3.16.xfrom
pp-mo:lazy_encoding

pp-mo commented Sep 22, 2026

Uh oh!

github-actions Bot commented Sep 22, 2026

Uh oh!

This branch has not been deployed

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

7 participants

Conversation

pp-mo commented Sep 22, 2026

Uh oh!

github-actions Bot commented Sep 22, 2026

⏱️ Performance Benchmark Report: 0fb891d

Uh oh!

This branch has not been deployed

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

7 participants

⏱️ Performance Benchmark Report: `0fb891d`