Summary
Add CI testing to compare generated code with reference models, similar to practice in chaste_codegen.

Summary
Merge chaste-codegen-sbml into one package with chaste-codegen.

Advantages include:

• Simpler to install during configuration step in Chaste builds.
• Easier to synch dependency versions between the two packages e.g. Jinja.
• Good timing to create a structure which we can later extend to add support for generating Chaste code from other formats.

Disadvantages include:

• Chaste-codegen is already published and in use so changes should minimize impact on current users and existing references.

Summary
Following best practices from chaste_codegen, use Jinja templating to support code generation.

Summary
Package for PyPI so that we can start doing pip install chaste_codegen_sbml.

Summary
Fix code generation with lessons learned from Goldbeter 1991 sbml:

• Fix variable names. Names can have spaces so perhaps use ids instead, or do some name mangling.
• Fix generated number of ODE parameters (for Goldbeter, it was 5 rather than 3).
• Add methods to get state variables. Use variable names for clarity.
• Allow solver selection in command line e.g. RungeKutta4IvpOdeSolver or CVODE.
• Consider generating custom Srn model separately to replace template.
• Allow setting solver SetDt(0.1) in command line.
• Allow customizing timescale of results?

Related Issues

• Chaste/Chaste#134