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Looks interesting, thanks for sharing.
Seems specifically appropriate for codebases where you train/test/benchmark ML models. Surely useful for many PV projects, but pvlib is not in this category (for the moment?). May it be able to check for other common non-ML mistakes, thou?
I have 2GB lmao. |
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This is interesting: https://github.com/authentic-research-partners/scicode-lint
I wonder what it would find in the pvlib-python codebase, and what it would take to provide a PV modeling methodology.
I got lost in the setup/configuration of the required LLM on my Windows machine - anyone have a Ubuntu setup that would like to try this out?
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