🔻GOOGLE TELEFONO E MESSAGGI OBBLIGATORI PER I PRODUTTORI🔻
#OP#OOS
Siamo rimasti tutti stupiti quando Carl Pei annunciava che il Nord avrebbe avuto Google Telefono e Google Messaggi preinstallati al posto delle rispettive app OnePlus.
Da quel giorno, tutti i nuovi telefoni OnePlus, tra cui N10, N100 e 8T sono usciti dalla scatola con la medesima caratteristica. Ma perché?
Finalmente è arrivata una risposta. Da quanto si apprende da un tweet di Dhananjay_Tech, Google avrebbe inserito queste due applicazioni tra quelle obbligatoriamente preinstallate per i dispositivi della categoria "Tier 1".
Non si sa di preciso quali dispositivi appartengano a questa categoria. Possiamo supporre che non sia una cosa legata alla fascia (le app sono preinstallate su N100 come su 8T).
Quel che possiamo dir certo è che i prossimi OnePlus avranno Telefono e Messaggi marchiati Google.
Pierre
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https://docs.python.org/3/library/subprocess.html
The #subprocess module allows you to spawn new #processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older #modules and #functions.
#python
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