actor | A super minimal java actor library | Functional Programming library

Make your observable object as main actor, like

How can I use an actor to store/read state information correctly so the MyObj can use it to read and set state?

You cannot mutate an actor's instance variables from outside the actor. That is the whole point of actors!

Instead, give the actor a method that sets its own instance variable. You will then be able to call that method (with await).

One way would be to store the variable within a container (like an enum acting as an abstract namespace) and also isolating this to the main actor.

I haven't found a solution, but I have a workaround. If you go to the last working workflow run in the Actions tab (look for a green checkmark), you can click Re-run all jobs, which should deploy your webpage for you, including the latest changes.

Hope this works for the time being until there is a better solution!

Back-deploying concurrency to older OS versions bundles a concurrency runtime library along with your app with the support required for this feature, much like Swift used to do with the standard library prior to ABI stability in Swift 5, when Swift could be shipped with the OS.

This bundles parts of the Concurrency portions of the standard library (stable link) along with some additional support and stubs for functionality (stable link).

This bundling isn't necessary when deploying to OS versions new enough to contain these runtime features as part of the OS.

Since the feature on iOS 15+ (and associated OS releases) was stated to require kernel changes (for the new cooperative threading model) which themselves cannot be backported, the implementation of certain features includes shims based on existing functionality which does exist on those OSes, but which might perform a little bit differently, or less efficiently.

You can see this in a few places in Doug Gregor's PR for backporting concurrency — in a few places, checks for SWIFT_CONCURRENCY_BACK_DEPLOYMENT change the implementation where some assumptions no longer hold, or functionality isn't present. For example, the GlobalExecutor can't make assumptions about dispatch_get_global_queue being cooperative (because that threading model doesn't exist on older OSes), so when backporting, it has to create its own queue for use as the global cooperative queue. @objc-based actors also need to have their superclass swizzled, which doesn't need to happen on non-backdeployed runtimes. (Symbols also have to be injected in some places into the backdeploy libs, and certain behaviors have to be stubbed out, but that's a bit less interesting.)

Overall, there isn't comprehensive documentation on the exact differences between backdeploying and not (short of reading all of the code), but it should be safe to assume that the effective behavior of the backdeployed lib will be the same, though potentially at the cost of performance.

Found the problem.
I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
So just reverting back to pyyaml version 5.4.1 solved the problem.

For more information check versions of pyyaml here.
See this issue and formal answers in GitHub

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For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:

You can use ?ego to grab the neighbours or ?make_ego_graph to form the graph. (Depending on whether your graph is directed or not, you may need to use the mode argument).

An example:

I finally find out !!! BUT I'm not sure in term of security if there is any risk or not so if anyone can advice I'll edit the answer !

What is changing but I'm not sure in term of security is here :

I think replicate is the thing you may need