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Chaîne source @OnePlusGuide · Post #2729 · 17 août

🔻OXYGENOS 11: ALWAYS ON DISPLAY!🔻 #ONEPLUS#OXYGENOS11#ALWAYSONDISPLAY#AOD OnePlus si è creata una fama internazionale per la sua particolare attenzione alla Community e alle sue richieste. Beh, anche questa volta non si smentisce. Dopo mesi e mesi di attesa, finalmente OnePlus ha confermato che implementerà nella nuova OxygenOS 11 una delle funzionalità più richieste dai suoi utenti: l'Always On Display! Per chi non conoscesse questa funzionalità, rende alcuni elementi come Orologio e icone di notifiche sempre visibili sullo schermo quando si blocca il dispositivo, in maniera tale da non dover accendere il telefono per vedere l'orario o le notifiche, a discapito di un po' di batteria. E voi che ne pensate? Userete questa funzionalità? Fatecelo sapere nei nostri gruppi! Pit — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

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Amazing Geography 🌍

@amazingeo · Post #39 · 13/08/2025 00:12

🌍 Earth's crust is in constant motion due to convection currents—slow, swirling movement of hot rock deep below the surface. This drives plate movement, causing earthquakes and forming new land. ✨ #processes⚡#plate⚡#tectonics⚡#geology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍

djangoproject

@djangoproject · Post #290 · 04/04/2017 21:36

https://pymotw.com/3/asyncio/executors.html Combining Coroutines with Threads and Processes A lot of existing libraries are not ready to be used with #asyncio natively. They may block, or depend on concurrency features not available through the module. It is still possible to use those libraries in an application based on asyncio by using an #executor from #concurrent.futures to run the code either in a separate thread or a separate process. #Threads The #run_in_executor() method of the event loop takes an executor instance, a regular callable to invoke, and any arguments to be passed to the callable. It returns a Future that can be used to wait for the function to finish its work and return something. If no executor is passed in, a #ThreadPoolExecutor is created. This example explicitly creates an executor to limit the number of worker threads it will have available. #Processes A ProcessPoolExecutor works in much the same way, creating a set of worker #processes instead of threads. Using separate processes requires more system resources, but for computationally-intensive operations it can make sense to run a separate task on each CPU core. #learn