publisher | ipynb - gh-pages - ipynb - & gt ; gh-pages | Search Engine Optimization library

fromCallable doesn't shield you from blocking computation inside the Callable, which your example demonstrates.

The primary mean of cancellation in Reactive Streams is the cancel() signal propagated from downstream via the Subscription.

Even with that, the fundamental requirement of avoiding blocking code inside reactive code still holds, because if the operators are simple enough (ie. synchronous), a blocking step could even prevent the propagation of the cancel() signal...

A way to adapt non-reactive code while still getting notified about cancellation is Mono.create: it exposes a MonoSink (via a Consumer) which can be used to push elements to downstream, and at the same time it has a onCancel handler.

You would need to rewrite your code to eg. check an AtomicBoolean on each iteration of the loop, and have that AtomicBoolean flipped in the sink's onCancel handler:

VSCode extensions are considered as "open source" projects, so each one of them would have its own license. Both Microsoft's vscode-python and Thomas Haakon's Python-vscode use MIT License, which allow commercial usage with no problems. Microsoft's new Python language server pylance is not open source, but it allows the usage of any number of copies with Visual Studio or VSCode, according to their license

You can always read the license yourself, or visit choose a license to get a summary of widely used software licenses

In a non-SwiftUI situation, I'd normally recommend making player an optional and loading it later, but, as you've probably discovered, you can't make an @ObservedObject or @StateObject optional.

I'd recommend refactoring AudioPlayerAV so that it does the important work in a different function than init. That way, you're free to load the content at whatever point you want.

For example:

You could use a shared AtomicBoolean between the collect and the last flatMapMaybe. In addition, if you want to stop the images right there, throw an exception and turn it into a neutral multipartbody so that flatMapMaybe still runs.

What's happening here is a pretty subtle behavior.

The expression x.$data evaluates to a Published.Publisher. When you subscribe to a Published.Publisher, it publishes its current value immediately, and then each time the Published property receives a new value, the publisher publishes the new value before the new value is stored in the property.

This behavior is documented in the Published reference:

When the property changes, publishing occurs in the property’s willSet block, meaning subscribers receive the new value before it’s actually set on the property.

This means when you call x.setData(), the outer subscription receives the new value ("DATA") in v1, but x.data at that point still evaluates to nil. And when you create the inner subscription to x.$data, it immediately publishes its currently stored value, which is still nil.

In Kafka, you could utilise the concept of quotas to prevent a certain clients to monopolise the cluster resources.

There are 2 types of quotas that can be enforced:

1. Network bandwidth quotas
2. Request rate quotas

More detailed information on how these can be configured can be found in the official documentation of Kafka.

Let's analyze

The problem is that your publisher is too artificially crude: it is not asynchronous. An array publisher just publishes all its values at once, so you are canceling too late; and you are blocking the main thread. Use something like a timer publisher instead, or use a flatmap with a delay and backpressure.

I managed to solve this. I will post relevant parts of the code, the rest is unchanged