v1.2.2: Minor fixes
A few minor fixes:
- ThrownObject used a property to store max_x. This meant it couldn't be used in sample-based algorithms like a Particle Filter or Monte Carlo. max_x is now a state.
- Fixed comparison of models using equality
- Support added for single threshold_key (instead of list). E.g., m.simulate_to_threshold(threshold_keys='key1')