More elegant multithreading handling #401 8000
Labels
priority: high
issues that would be really helpful if they were fixed already
refactoring
issues proposing/requesting changes to the code which do not impact behavior
Uh oh!
There was an error while loading. Please reload this page.
Summary
Since we last managed environment variables,
numpy
has begun recommending that people use the threadpoolctl package. We should add this package as a dependency and use it to manage the multithreading environment.Next Steps
The text was updated successfully, but these errors were encountered: