Feature synthetic data

[dilpath]

To use this, the feature_synthetic_data branch of AMICI and PEtab (and pyPESTO for the example) should be used together.
Implementation in AMICI: PR
Example optimisation with synthetic data: notebook, PR
PEtab base class: code, PR

[codecov-io]

Codecov Report

Merging #482 into develop will increase coverage by 0.02%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##           develop     #482      +/-   ##
===========================================
+ Coverage    90.49%   90.52%   +0.02%     
===========================================
  Files           70       70              
  Lines         4062     4062              
===========================================
+ Hits          3676     3677       +1     
+ Misses         386      385       -1     

Impacted Files	Coverage Δ
pypesto/objective/amici_util.py	83.92% <0.00%> (+0.89%)	⬆️

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[dilpath]

Ready for review, but merging will be delayed as this PR requires the next AMICI release

[dilpath]

This PR is now in a state that I would merge (if approved)