schedule | Python job scheduling for humans | Job Scheduling library

Ok so it required a dependency tzlocal==2.1 so it could get local timezone, i assume for some reason the version that the module has does not work on my system

I'm not terribly familiar with your stack, so this is a high-level answer to hit on your "Why". There WILL be a more specific answer for you, somewhere down the pipe (e.g. someone that can confirm whether this thread is relevant).

While I'm no Spring Daisy (or Spring dev), you bind an expression to filmMono that resolves as the query select film.* from film..... You reference that expression four times, and it's resolved four times, in separate contexts. The ordering of the statements is likely a partially-successful attempt by the lib author to lazily evaluate the expression that you bound locally, such that it's able to batch the four accidentally identical queries. You most likely resolved this by collecting into an actual container, and then mapping on that container instead of the expression bound to filmMono.

In general, this situation is because the options available to library authors aren't good when the language doesn't natively support lazy evaluation. Because any operation might alter the dataset, the library author has to choose between:

• A, construct just enough scaffolding to fully record all resources needed, copy the dataset for any operations that need to mutate records in some way, and hope that they can detect any edge-cases that might leak the scaffolding when the resolved dataset was expected (getting this right is...hard).
• B, resolve each level of mapping as a query, for each context it appears in, lest any operations mutate the dataset in ways that might surprise the integrator (e.g. you).
• C, as above, except instead of duplicating the original request, just duplicate the data...at every step. Pass-by-copy gets real painful real fast on the JVM, and languages like Clojure and Scala handle this by just making the dev be very specific about whether they want to mutate in-place, or copy then mutate.

In your case, B made the most sense to the folks that wrote that lib. In fact, they apparently got close enough to A that they were able to batch all the queries that were produced by resolving the expression bound to filmMono (which are only accidentally identical), so color me a bit impressed.

Many access patterns can be rewritten to optimize for the resulting queries instead. Your milage may vary...wildly. Getting familiar with raw SQL, or else a special-purpose language like GraphQL, can give much more consistent results than relational mappers, but I'm ever more appreciative of good IDE support, and mixing domains like that often means giving up auto-complete, context highlighting, lang-server solution-proofs and linting.

Given that the scope of the question was "why did this happen?", even noting my lack of familiarity with your stack, the answer is "lazy evaluation in a language that doesn't natively support it is really hard."

Posting comment as the community wiki answer for better visibility

This issue was due to kubelet certificate expired and fixed following these steps. If someone faces this issue, make sure /var/lib/kubelet/pki/kubelet-client-current.pem certificate and key values are base64 encoded when placing on /etc/kubernetes/kubelet.conf

Regarding your first set of questions, i have to point you forward to the gitlab CI Documentation and the rules:if section. They have their a good explanation of the states and also some addtion https://docs.gitlab.com/ee/ci/jobs/job_control.html#common-if-clauses-for-rules - i am just screenshoting this, so people can relate to it in the future if the link gets outdated:

Regarding your additional question:

A merge is a push. We do not check on some branches for CI_PIPELINE_SOURCE but for the branch name and do checks simply against that like:

Please upgrade your kubectl to 1.21 as well.

this is for educational purposes only - do not use it on production! this approach is not safe based on React core team member - I've already asked. it could be safe if you plan to use a fixed version of React without upgrading later.

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so after many many hours digging into React codebase I finally wrote a hook that tells if any update is currently scheduled.

Note: would work for function components only, and this hook is not well tested.

you can see some internal state of React by the undocumented __SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED property. this prop holds ReactCurrentOwner which is basically a reference to the current component that is being constructed.

You could use DAG params to achieve what you are looking for:

params (dict) – a dictionary of DAG level parameters that are made accessible in templates, namespaced under params. These params can be overridden at the task level.

You can define params at DAG or Task levels and also add or modify them from the UI in the Trigger DAG w/ config section.

Example DAG:

There is a difference between kernel-level and user-level threads. In simple words:

• Kernel-level threads: Threads that are managed by the operating system, including scheduling. They are what is executed on the processor. That's what probably most of us think of threads.
• User-level threads: Threads that are managed by the program itself. They are also called fibers or coroutines in some contexts. In contrast to kernel-level threads, they need to "yield the execution", i.e. switching from one user-level to another user-level thread is done explicitly by the program. User-level threads are mapped to kernel-level threads.

As user-level threads need to be mapped to kernel-level threads, you need to choose a suiteable mapping. You could map each user-level to a separate kernel-level thread. You could also map many user-level to one kernel-level thread. In the latter mapping, you let multiple concurrent execution paths be executed by a single thread "as we know it". If one of those paths blocks, recall that user-level threads need to yield the execution, then the executing (kernel-level) thread blocks, which causes all other assigned paths to also be effectively blocked. I think, this is what the statement refers to. FYI: In Java, user-level threads – the multithreading you do in your programs – are mapped to kernel-level threads by the JVM, i.e. the runtime system.

Related stuff:

• Understanding java's native threads and the jvm
• What is the difference between a thread and a fiber?
• What is difference between User space and Kernel space?
• What is the difference between concurrent programming and parallel programming?
• Implementing threads

So I've discovered something.

As the question is stated, it is not currently possible to play sound in a local notification when the phone is on silent mode.

However, great news!

There is actually a different way to achieve the same result; and it's how apps like Alarmy do it.

Note: I (FINALLY) discovered this solution from this wonderful SO answer, but I'll summarize it here for reference.

In short, the local notification will not be playing the sound, but instead, the app will play it (while in the background).

STEPS

1. You must enable the app to play sound in the background. To do this, navigate to your .plist file and add the String value App plays audio or streams audio/video using AirPlay to the array key Required background modes. (This can also be achieved in your app's Capabilities - it does the same thing).

2. In your App Delegate, set your AVAudioSession's category to .playBack so sound will still play even when the phone is locked or in the background.