QuadFile | GitHub | Platform As A Service library

I am working on a personal project, to code a quadcopter simulation (and control) in Python, as a learning project. I am using the scipy integrator odeint and I am quite disappointing in the long computing time. So I wish to use numba to accelerate my integration. I call odeint every timestep, as I have to create commands after each simulated timestep.

At first, I had issues when my function to integrate (state_dot) was a method of the Quadcopter class. So I made it a separate function, but I am now having problems defining the right types when I decorate my function with @jit. The state_dot function has a dictionary (params) as an input argument (I've read that numba supports dictionaries), but also was a custom class (wind), because my wind model is a method of that class. If I exclude the wind for now, using numba.typed.Dict doesn't seem to work to import the dictionary.

To import the wind object in the function, I've seen the numba type object_ being used, but Python doesn't find a object_ in numba.

I am using numba version 0.45.0, and Python 3.7.