Closed drewaogle closed 2 hours ago
Also if you run it in a vm, you can notice the pip
process maxing cpu - which shouldn't be happening, and this is when it is trying to determine the "best" version.
Where is this combination restricting. Especially the exact pandas version == 1.5.3
This does not repro in our CI, so lets add some more light to it.
When working on a change for athena, pip started failing. I traced the error to pip selecting an old dask ( 0.8, I think ) which failed to install because it used a word that became reserved in python 3.7.
Note - this fails only with updated pip (24.2)
is the line that fails.
works
but also -
works.
The fact that I was able to nudge dask to choose a newer version and it then selected the newest makes me think it is a problem with the pip resolver, which has had known issues in the past. Additionally, when you run the top, it shows that pip ends up panicking and searching through a lot of dasks for some reason.