Multicore prompt_compress

[SrdanProdanovic]

What does this PR do?

Add a parallel mutlicore version, a test that runs in and scripts to monitor

Fixes # (issue)

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Was this discussed/approved via a Github issue? Please add a link
  to it if that's the case.
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

Who can review?

If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of who to tag.
Please tag fewer than 3 people.

LLMLingua/LongLLMLingua:

• general: @iofu728, @QianhuiWu, @XufangLuo, and @mydmdm
• new feature: @SiyunZhao

Documentation: @SiyunZhao

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[cornzz]

Hi @SrdanProdanovic, this looks cool! Do you have some benchmark numbers, did you actually manage to speed up the compression process? I see that you parallelized the calculation of the context probabilities when compressing multiple contexts. I have not used LLMLingua-2 with multiple contexts yet, but I'd still be interested how much faster you got it to work.

I have experimented myself with trying to implement multiprocessing in __compress, so trying to parallelize the compression of a context itself, but didn't have much luck. I believe the overhead introduced by multiprocessing was too large in my case...

[SrdanProdanovic]

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