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Following the example of other high-quality scientific Python packages like xarray and sdmx1, we should use some common tools to ensure that existing & new code is uniform and high-quality:
Following the example of other high-quality scientific Python packages like xarray and sdmx1, we should use some common tools to ensure that existing & new code is uniform and high-quality:
Configuration & integration in CI (
.github/workflows/lint.yaml
) can be copied from those other projects.At the same time, we could:
doc/source/
subtree intodoc/
Add tests orSeparated to Increase test coverage to 100% #386# pragma: no cover
to reach 100% test coverage.Parallel to iiasa/message_ix#397.
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