[WIP] fixes for parallel calls inside Jupyter

[JesusTorrado]

For now just a workaround, that fixes issues with pickling in ipyparallel.

One of the problems can be fixed by not having __getstate__ of HasLogger return a copy, but the original dict minus the logger. This is indeed what a __getstate__ is supposed to do, but I still need to test this change.

The other fix removes the fast prior pdfs, because the way the method is assigned maybe does not propagate correctly across copies. It can probably be superseded by creating a custom scipy prior object inheriting from the scipy one and having the new logpdf as a first-class method.

EDIT: Copy fixed cherrypicked and added to https://github.com/CobayaSampler/cobaya/pull/349. Only fast-pdf missing.

[ggalloni]

Hello Jesus, what kind of error was this giving you? I'm asking cause also the Minuit object was giving problems with the same __getstate__ (#332).

[JesusTorrado]

Hi @ggalloni,

It's a recursion error produced by pickling while in the IPP cluster. You can try if the one-line change to log.py solves if in your case.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (ea587ce) 81.78% compared to head (81e389e) 81.73%.

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #343 +/- ## ========================================== - Coverage 81.78% 81.73% -0.05% ========================================== Files 133 133 Lines 11033 11026 -7 ========================================== - Hits 9023 9012 -11 - Misses 2010 2014 +4 ```

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[ggalloni]

Yeah, it was a recursion error also in my case, I'll try your workaround.

[cmbant]

@ggalloni could you check if this reworking of fast-pdf works? https://github.com/CobayaSampler/cobaya/pull/373