Implement Rule-based and Data-driven fingering algorithms.

[NeroBlackstone]

For now, PianoFingering.jl uses pure rule-based fingering algorithms. It is based on simulated piano performance, use reinforcement learning to minimal motion.

Advantages of rule-based fingering:

• Personalised fingering, different fingering output for different hand size.
• Physical playable, it's based on a simulated play.

Advantage of data-driven fingering:

• fluent, learning from human annotated music score.

The challenge is to combine these two different ways. My next step is to add pure data-driven fingering algorithms.

Then, hard constraints will be added to the data-driven model for personalize fingering output.