Add thirty models

[joeyshuttleworth]

Description

Add models 1-11 and 30 from CardiacModelling/hergModels/tree/master/models_myokit. These models are tested by comparing Myokit Simulation output form the original .mmt files with those generated through the Markov_builder.

The newly added models make extensive use of the shared_variables_dict. The behaviour of parameterise_rates was modified to make it more convenient to set these variables to numerical values.

These changes exposed some issues with reversibility checking and transition matrix calculation which have now been fixed.

The new models can be easily generated by users and modified to include drug-trapping or additional states/parameters.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)

Testing

• Testing is done automatically and codecov shows test coverage
• This cannot be tested automatically

Documentation checklist

• I have updated all documentation in the code where necessary.
• I have checked spelling in all (new) comments and documentation.
• I have added a note to RELEASE.md if relevant (new feature, breaking change, or notable bug fix).

[codecov]

Codecov Report

Merging #13 (93b454f) into master (5672637) will increase coverage by 3.59%.
The diff coverage is 97.91%.

@@            Coverage Diff             @@
##           master      #13      +/-   ##
==========================================
+ Coverage   89.71%   93.30%   +3.59%     
==========================================
  Files           5       22      +17     
  Lines         554      837     +283     
==========================================
+ Hits          497      781     +284     
+ Misses         57       56       -1     

Impacted Files	Coverage Δ
markov_builder/MarkovChain.py	88.37% <92.04%> (+1.24%)	⬆️
markov_builder/example_models.py	98.95% <100.00%> (ø)
markov_builder/models/thirty_models/__init__.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model0.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model1.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model10.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model11.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model12.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model13.py	100.00% <100.00%> (ø)
markov_builder/models/thirty_models/model14.py	100.00% <100.00%> (ø)
... and 9 more

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[MichaelClerx]

Hi Joey,
Won't have time for an in-depth review (if you want that) till June or after.
Few small comments. And comparison 2 looks plain wrong?
Would plot an error for these 3 cases too (signal1 - signal2)