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So it will never be truly fixed, as the default PAT will still be rate limited. We'd need to create a way to add a custom PAT. The primary reason for this is CI, where the framework gets installed multiple times - I don't think we have a guarantee that a custom PAT will also not be affected by the rate limit. For large scale experiments it is advised to build an image with the preinstalled setup which bypasses this problem.
See e.g.: https://github.com/openml/automlbenchmark/runs/3499152666#step:7:18384
Looks like it has to do with Github's policy to only use PATs , though I am not clear as to why because all downloaded repos are public, not private.
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