Implement sciml initialisation test cases

[BSnelling]

Adding support and test cases for initialisation of neural networks: https://github.com/PEtab-dev/petab_sciml_testsuite/tree/main/test_cases/initialization

[codecov]

Codecov Report

❌ Patch coverage is 91.17647% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 77.37%. Comparing base (667b17b) to head (e8adf8c).

Files with missing lines	Patch %	Lines
python/sdist/amici/sim/jax/petab.py	90.90%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3175      +/-   ##
==========================================
- Coverage   78.14%   77.37%   -0.78%     
==========================================
  Files         317      317              
  Lines       20772    20803      +31     
  Branches     1484     1483       -1     
==========================================
- Hits        16232    16096     -136     
- Misses       4532     4699     +167     
  Partials        8        8              

Flag	Coverage Δ
cpp	69.99% <2.94%> (-0.11%)	⬇️
cpp_python	36.86% <0.00%> (-0.06%)	⬇️
petab	46.89% <32.35%> (-0.03%)	⬇️
petab_sciml	15.15% <91.17%> (+0.13%)	⬆️
python	66.75% <2.94%> (-1.84%)	⬇️
sbmlsuite-jax	?

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
python/sdist/amici/exporters/jax/nn.py	99.13% <ø> (ø)
...hon/sdist/amici/importers/petab/_petab_importer.py	87.78% <100.00%> (-0.26%)	⬇️
python/sdist/amici/sim/jax/petab.py	85.31% <90.90%> (+0.31%)	⬆️

... and 6 files with indirect coverage changes

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[FFroehlich]

is there no such function in the petab base library?

[BSnelling]

Not really. There is MappingTable.get but I'd have to iterate through the array of mapping tables in the petab problem so it's convenient to use themapping_df which concatenates everything in this case.