Add option to specify chunks in iris.util.broadcast_to_shape
#5620
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## main #5620 +/- ##
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+ Coverage 89.69% 89.76% +0.07%
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Files 90 93 +3
Lines 22809 22990 +181
Branches 5440 5010 -430
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+ Hits 20458 20638 +180
- Misses 1618 1622 +4
+ Partials 733 730 -3 ☔ View full report in Codecov by Sentry. |
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@pp-mo any update on this? |
Sorry yes I am reviewing this, I have some queries + suggestions pending . |
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…th_numpydoc * upstream/main: (39 commits) Bump scitools/workflows from 2024.03.3 to 2024.04.0 (SciTools#5907) [pre-commit.ci] pre-commit autoupdate (SciTools#5906) Updated environment lockfiles (SciTools#5904) Ignore flaticon.com in linkchecks. (SciTools#5905) Implement lazy area weights (SciTools#5658) Add option to specify chunks in `iris.util.broadcast_to_shape` (SciTools#5620) Unpin sphinx (SciTools#5901) DOC: clarify save_pairs_from_cube docstring (SciTools#5783) Restore latest Whats New files. Whats new updates for `v3.9.0rc0` (SciTools#5899) nep29: drop py39 and support py312 (SciTools#5894) Support NetCDF v3 files in chunking control code. (SciTools#5897) Avoid computing lazy scalar coordinates when printing a Cube (v2) (SciTools#5896) Force pytest colour output on GitHub Actions (SciTools#5895) Make typing 3.9 compatible. Improve typing readability. Updated environment lockfiles (SciTools#5892) [pre-commit.ci] pre-commit autoupdate What's New entry for SciTools#5740 . Iris to GeoVista conversion (SciTools#5740) ...
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🚀 Pull Request
Description
Make it possible to specify the target chunks in iris.util.broadcast_to_shape.
This function is often used to broadcast auxiliary coordinate or cell measure data or weights to the same shape as the data from a cube. If the chunks of the broadcasted data do not match that of the cube, this leads to poor computational performance. Rechunking after broadcasting is less efficient, therefore it is really useful to be able to specify the chunks directly as part of the broadcast.
Closes #5456
Consult Iris pull request check list