Daniel Pinyol

Type hints are extremely useful for discovering functions, arguments... and also for detecting regressions https://www.infoworld.com/article/3630372/get-started-with-python-type-hints.html

did you try python with static lib? https://pyjulia.readthedocs.io/en/latest/troubleshooting.html#ultimate-fix-build-your-own-python btw, I think julia was not fully supported in M1 until version 1.8 Other alternatives to try: * juliacall instead of pyjulia...

Hi, any plans to upgrade protobuf to >=3.20? It was release more than 1 year ago and some other libraries (eg. streamlit) require at least 3.20 thanks

Yes, the "meat" should be already implemented because the hint already appears when opening the parameters bracket or typing a parameters comma. Selecting "Trigger parameter hints" from "Command palette" does...

> Not sure what's going on here, but you should be getting those hints if said packages are in your current environment: You're right, it's working now on my project....

We find this feature very useful as we don't only have test/Project.toml, but also test-performance/Project.toml and others

https://github.com/pola-rs/polars/pull/7290 fixed the lack of support for 8 & 16 bytes for normal reader, but it still fails for `read_csv_batched`

Hi, any news about this? It still occurs in julia 1.10 and JET v0.8.29 thanks

In my experience integrating linters for other languages, this feature is invaluable to reduce the impact of managing false positives. Given the particularities of the julia language and how often...

I can reproduce this error with default python 3.11.4 from ubuntu 23.04, but it works with pyenv python versions 3.11.6, 3.11.8 & 3.12.2