Feature update template#3
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Looking good!
However... Seems like pixi pinning strategy is missing for some reason...
I still have not figured out why it is not detected well on your machine.
We should go over it before merging, just in case there is a real issue with the template.
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| [feature.module.dependencies] | ||
| curl = "=8.9.1" | ||
| pycountry = "=24.6.1" | ||
| pyarrow = "=17.0.0" | ||
| fastparquet = "=2026.5.0" | ||
| pydantic = "=2.13.4" | ||
| entsoe-py = "=0.8.0" | ||
| dask = "=2026.6.0" | ||
| numpy = "=1.26.4" | ||
| gregor = "=0.1.0" |
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Not obligatory, but keep in mind that you can change the "=0.1.0" too ">=0.1.0" after the first import if you wish to allow for easy future updates to the module environment.
The conda pins should protect users in any case.
irm-codebase
approved these changes
Jul 1, 2026
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Fixes #
Summary of changes in this pull request
Reviewer checklist
pipdependencies in the module's environment files (workflow/envs/).pathvars(e.g.,<results>) in their inputs and outputs.pre-commit.citests pass.INTERFACE.yamlmentions all relevantpathvarsandwildcards.README.mddescribes how to use the module and has the necessary citations.