Possibly incorrect type hinting in PyCIEMSS optimization interface

[liunelson]

In pyciemss/PetriNetODE/interfaces.py, the type hints for the functions load_and_optimize_and_sample_petri_model and load_and_calibrate_and_optimize_and_sample_petri_model appear to be incorrect.

The arguments initial_guess and bounds both have type hints Iterable[float] and default values 0.5 and [[0.0], [1.0]] respectively. Based on the context and examples, they may need to be replaced with

• initial_guess: Iterable[float] = [0.5]
• bounds: Iterable[Iterable[float]] = [[0.0], [1.0]]

Unrelated: load_and_calibrate_and_optimize_and_sample_petri_model has the argument deterministic_learnable_parameters but it is missing from the docstring. Please fix this so one can read about what this argument does.

[anirban-chaudhuri]

We have resolved these issues in the pyciemss repository.