-
Notifications
You must be signed in to change notification settings - Fork 1
247 devops introduce uv #266
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
|
I tried to install it with uv and the install.py file. It runned smoothly up to one detail. using pip as before and setup the path to the compiler I had no issues, here it is by default, using a conda env, uv settings are putting the wrong path for some libraries so I was running into some error :
The easy work around was to install he libraries through conda : |
krauthex
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Looks good to me :-) have not tested it, as fastddm is unfortunately not really installable on the ipad I‘m reviewing this on. :-D
This could be due to uv being installed from pip and not conda. Try installing uv in the conda environment |
|
Clean! I used the uv installer on some computers and it worked as a charm. |
|
Sorry for the delay, it was quickly done @enrico-lattuada everything should be good to go now! |
Description
Motivation and context
Astral's uv makes installation and project/dependency management fast, improving development experience and reducing pipeline durations.
Resolves #247
How has this been tested?
Change log
Checklist:
docs/source/credits.rst) in the pull request source branch.