Select: support user-provided calibration results

[dilpath]

Currently, the design is that:

• a user can provide previously-calibrated models as user_calibrated_models
• PEtab Select will put these models into the candidate space, instead of the uncalibrated versions
• pyPESTO still needs to skip these models

The purpose is that the path through model space is still reproducible, because models are not skipped.
TODO: fully handle this in PEtab Select, so pyPESTO never sees already-calibrated models, except when it asks PEtab Select for the final results.

[codecov-commenter]

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Codecov Report

Attention: Patch coverage is 0% with 14 lines in your changes missing coverage. Please review.

Project coverage is 77.10%. Comparing base (bd4b81b) to head (f221448).
Report is 17 commits behind head on develop.

Files with missing lines	Patch %	Lines
pypesto/select/method.py	0.00%	14 Missing ⚠️

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Flag	BASE (bd4b81b)	HEAD (f221448)
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Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #1338      +/-   ##
===========================================
- Coverage    83.41%   77.10%   -6.31%     
===========================================
  Files          161      163       +2     
  Lines        13460    13791     +331     
===========================================
- Hits         11228    10634     -594     
- Misses        2232     3157     +925     

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[PaulJonasJost]

LGTM 👍🏼 Is the functionality provided in petab select already?

[Doresic]

Nice feature, thanks!