eventloop | event loop programming facility of python

Make sure you have the same image size (224, 224) in flow_from_directory and in the hub.KerasLayer. Here is a working example:

The fix was to also increase paging androidx.paging:paging-runtime-ktx to beta01

The problem is the default shape used for the VGG19 model. You can try replacing the input shape and applying a Flatten layer just before the output layer. Here is a working example:

Try changing pw_length in your password() function to:

based on the iconic Failed to create SSL Connection output in the logs, I assume that you have run into the dreaded The demo certificates included in the Hono chart have expired problem.

The Cloud2Edge package chart is being updated currently (https://github.com/eclipse/packages/pull/337) with the most recent version of the Ditto and Hono charts (which includes fresh certificates that are valid for two more years to come). As soon as that PR is merged and the Eclipse Packages chart repository has been rebuilt, you should be able to do a helm repo update and then (hopefully) succesfully install the c2e package.

wait() is not allowed because it blocks the EventLoop. So you have a few options:

1. Use eager loading as suggested by Nick. This will be much more efficient as it's only 2 DB queries instead of N+1.

2. Use async/await to write it how you want

3. Handle the futures properly. Instead of using wait() switch to handling the futures:

Referring to Kotlin's documentation about debugging both of your solutions have officially supported counterparts:

• Set the system property kotlinx.coroutines.debug to on to enable debug mode. This enables stacktrace recovery which is a more comprehensive version of solution #1.
• Use the Kotlin debug agent to enable creation stacktraces which is the official version of solution #2. Do be aware that this is a very expensive feature because it will need to dump stack traces each time a coroutine is created.

In theory kotlin debug mode should be enough since the exception has to unwind through the 'stack' of coroutines. It just isn't the prettiest solution.

These recommendations are not really recommendations, because otherwise the event loop will block. Consequently, we will lose the main benefit of event programming, correct?

The event loop will block if you call blocking (both I/O and CPU blocking) function in a coroutine without awaiting for an executor. In this regard, yes, you shouldn't allow this to happen.

The recommendation I'd say it a type of executor for each type of blocking code: use ProcessPoolExecutor for CPU-bound stuff, use ThreadPoolExecutor for I/O bound stuff.

Running the io/ bound task as separate thread, require the following assumption: The i/o call will release the GIL, correct? Because other than that the os will not be able to context switch between the event loop and this new separate thread.

When it comes to multithreading, Python will be switching between threads after a very short amount of time without releasing a GIL. But if one or more threads have I/O (or C-code), then the GIL will be released, allowing the interpreter to spend more time with the thread requiring it.

The bottom line is:

• You can run any blocking code in executor, it won't block event loop. You get concurrency, but may or may not gain performance.
• For example, if you run CPU-bound code in ThreadPoolExecutor, you won't get a performance benefit from concurrency due to GIL. To gain the performance for CPU-bound stuff, you should use ProcessPoolExecutor.
• But I/O-bound can be run in ThreadPoolExecutor and you gain performance. There's no need to use heavier ProcessPoolExecutor here.

I wrote an example to demonstrate how it works:

In the traceback it says: