* Use dill instead of cloudpickle for serialization
* smaller size pickles
* support dynamically defined states
* avoid issues with unpickleable globals
* pyproject: add dill, remove cloudpickle
* poetry.lock: relock dependencies
* Dynamically convert EventHandler to functools.partial
Instead of converting the functions up front and assigning them to the
instance, unbox the function from the EventHandler when it is requested via
__getattribute__. This reduces the size of the per-instance pickle, because
event handler bodies do not need to be included.
* Improve checking for cython_function_or_method
Because pydantic can be installed without cython, only use the workaround in
the case where the BaseModel.validate function is NOT a FunctionType,
indicating it's a cython function.
* Serialize all State subclasses by reference
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