Feature/new genotype

[erolm-a]

209 , closes #206 and #207

This PR introduces the following:

• new numba-based, more efficient GenoDistrib class;
• support for multiple genes - and thus treatment-specific resistance; this should make #195 possible
• deprecation of some discretised queue-based processes on hot paths like busy dam rescheduling and external pressure;
• belated refactoring in the GUI

TODO:

• [X] Replace GenoDistrib with a numba-powered class
• [X] Make LicePopulation queue-free
• [x] Implement mating probability calculation
• [x] Fix tests
  • [x] Add new GenoDistrib tests
  • [x] Cage
  • [x] Farm
  • [x] Org & Simulator
• [ ] Test serialisation, possibly write converting logic to pandas
• [x] Make the GUI render multiple gene triples
• [x] Extend the documentation

To fix:

• some population bins end up becoming negative and not truncated.
• busy dam population not fully rescaled
• Serialisation works with Numba turned off. I think it would be better to address these issues in a separate PR together with a better solution for #203 .

This PR has been open for way longer than originally intended. I apologise for the inconvenience.

[codecov-commenter]

Codecov Report

Merging #208 (702f27f) into master (54f7540) will decrease coverage by 0.94%. The diff coverage is 91.19%.

@@            Coverage Diff             @@
##           master     #208      +/-   ##
==========================================
- Coverage   92.85%   91.90%   -0.95%     
==========================================
  Files          10       10              
  Lines        1511     1544      +33     
  Branches      257      244      -13     
==========================================
+ Hits         1403     1419      +16     
- Misses         82       97      +15     
- Partials       26       28       +2     

Flag	Coverage Δ
unittests	91.90% <91.19%> (-0.95%)	:arrow_down:

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

Impacted Files	Coverage Δ
slim/simulation/farm.py	95.87% <84.61%> (-0.02%)	:arrow_down:
slim/simulation/lice_population.py	89.36% <89.03%> (-1.85%)	:arrow_down:
slim/simulation/cage.py	97.09% <98.50%> (-1.14%)	:arrow_down:
slim/simulation/config.py	92.79% <100.00%> (ø)
slim/simulation/organisation.py	89.18% <100.00%> (-1.51%)	:arrow_down:
slim/simulation/simulator.py	71.21% <100.00%> (ø)
slim/types/treatments.py	100.00% <100.00%> (ø)
slim/types/queue.py	91.48% <0.00%> (-1.07%)	:arrow_down:

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