Async Running Problem with AsyncRunner

[LeoXia]

Description:
As a newcomer to this package, I'm exploring the usage of the AsyncRunner feature, particularly aiming to employ the start_periodical_saving functionality. Below is the code snippet I've implemented:

runner = adaptive.Runner(learner, executor=executor, npoints_goal=100)
runner.start_periodic_saving(
    {"fname": f"./config/{data.nx}x{data.ny}_{data.mode}.pkl", "compress": True},
    interval=30,
)
runner.ioloop.run_until_complete(runner.task)

Since the AsyncRunner doesn't work well in a script environment, I ran it in a jupyternotebook using the %run magic command, and got the error message pointing to runner.ioloop.run_until_complete(runner.task)

RuntimeError: This event loop is already running

I suspect that the conflict arises because the runner.start_periodic_saving coroutine initiates its own event loop, which contradicts the use of run_until_complete function. Since run_until_complete is crucial for me as it ensures sequential execution of subsequent functions after runner.task completion, I'm seeking guidance on resolving this issue.

Request for Assistance:
Could you provide guidance on how to address this conflict and enable the sequential execution of functions following runner.task completion, given the necessity of using run_until_complete?

Apology for encountering another issue within such a short timeframe. Your package is truly remarkable and has significantly contributed to the success of my project. Thanks for your kind assistance

[LeoXia]

Oops. I just find a sad fact that AsyncRunner won't work for me since I'm using HDF5 library to save my data which doesn't support asyncio. h5py issue#837

Thus my problem turns out to be: will it be possible to add learner.save() feature in the BlockingRunnner class? It is necessarily supported by the asyncio feature?

[Bas Nijholt]

The save method does actually not need to be an async method itself. It just needs to be a normal function of type Callable[[LearnerType], None].

So for example

        def save(learner):
            learner.save(**save_kwargs)

Regarding your async problems, in a script you can block with: runner.ioloop.run_until_complete(runner.task), however, in a notebook you can simply do await runner.task (docs).