Maybe running two *independent* loops should just always be allowed? As was
said, it should be no worse than calling requests.get(). There currently is
an explicit check against this -- deleting that check seems to make this
work, as long as you close the nested loop explicitly. (This may be
something that we should fix too, I don't have time to look into it right
now.)

Are there use cases in Jupyter that wouldn't be satisfied by using a
*different* event loop?

On Tue, Mar 26, 2019 at 11:01 AM Daniel Nugent <nug...@gmail.com> wrote:

> Not sure if it helps, but I got something working for the problem I was
> experiencing by detecting if there was a currently running event loop, and
> then at the synchronous call points, creating and running a new loop on a
> separate thread. This makes the object in question synchronous or
> asynchronous but not both.
>
> This was kind of a pain in the butt though and it blocks the outer loop
> anyway.
>
> I think I’m in favor of a configurable option to allow separate nested
> loops if possible. In the narrow situation I am concerned with of allowing
> library writers to provide synchronous APIs to otherwise asynchronous code
> that has to run in a world it can’t make usage demands of, it’s a good
> solution. In that scenario, I think the details of the underlying inner
> event loop likely won’t leak out to the outer event loop (creating a cross
> event loop dependency) when it’s being used synchronously.
>
> -Dan Nugent
> On Mar 25, 2019, 21:59 -0400, Dima Tisnek <dim...@gmail.com>, wrote:
>
> End-user point of view, a.k.a. my 2c:
>
> re more worrisome scenario: if "objects" from two event loops depends
> on each other, that's unsolvable in general case. On the other hand,
> what OP wanted, was akin to DAG-like functionality or locking
> hierarchy. Naive implementation would block caller callbacks until
> callee completes, but that may be what the user actually wanted (?).
>
> re ipython notebook state reuse across cells: that's a whole different
> can of worms, because cells can be re-evaluated in arbitrary order. As
> a user I would expect my async code to not interfere with ipynb
> internal implementation. In fact, I'd rather see ipynb isolated into
> own thread/loop/process. After all, I would, at times like to use a
> debugger.
> (full disclosure: I use debugger in ipython and it never really worked
> for me in sync notebook, let alone async).
>
> re original proposal: async code calls a synchronous function that
> wants to do some async work and wait for the result, for example,
> telemetry bolt-on. I would expect the 2 event loops to be isolated.
> Attempting to await across loop should raise an exception, as it does.
> When some application wants to coordinate things that happen in
> multiple event loops, it should be the application's problem.
>
>
> I think this calls for a higher-level paradigm, something that allows
> suspension and resumption of entire event loops (maybe executors?) or
> something that allows several event loops to run without being aware
> of each other (threads?).
>
>
> I feel that just adding the flag to allow creation / setting of event
> loop is not enough.
> We'd need at least a stack where event loops can be pushed and popped
> from, and possibly more...
>
> Cheers,
> D.
>
> On Tue, 26 Mar 2019 at 09:52, Glyph <gl...@twistedmatrix.com> wrote:
>
>
> Allowing reentrant calls to the same loop is not a good idea IMO. At best,
> you'll need to carefully ensure that the event loop and task
> implementations are themselves reentrancy-safe (including the C
> accelerators and third parties like uvloop?), and then it just invites
> subtle issues in the applications built on top of it. I don't think there's
> a good reason to allow or support this (and nest_asyncio should be heavily
> discouraged). I do, however, think that PBP is a good enough reason to
> allow opt-in use of multiple event loops nested inside each other (maybe
> something on the EventLoopPolicy for configuration?).
>
>
> +1 to all of this.
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