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Chaîne source @OnePlusGuide · Post #2525 · 24 mai
~ COME ABILITARE I 960 FPS E LA MACRO MODE SU ONEPLUS 7 PRO (OOS CAMERA + ROOT) ~ #OP#OOS#OP7PRO Dopo l'arrivo di queste modalità su OnePlus 7T, è possibile abilitarle anche sul OnePlus 7 Pro. Questa procedura richiede i permessi di root e la camera stock di OxygenOS. É richiesta una versione della Camera pari o superiore alla 3.10.17 (ve la linko) ed è consigliata l'installazione delle build Open Beta di OOS. • Assicurarsi di avere la corretta versione della Camera • Scaricare Preferences Manger (download nei bottoni) • Configurarla e abilitarla ai permessi di root • Entrare nella sezione dell'app Fotocamera • Cercare il file CameraInfo0.xml • Aggiungere una StringSet (con il tasto + in alto) che abbia come key Video960FpsSizes e come valore 1280x720 • Ripetere la stessa procedura nel file CameraInfo5.xml • Aprire il file CameraInfo_3.xml e cercare la variabile IsUWMacroSupported e cambiare il valore da false a true Fatto! Pierre
Recherche : #runtime
@golang · Post #58 · 22/04/2018 20:22
Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
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@golang · Post #64 · 21/06/2018 16:17
Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8
@githubtrending · Post #15382 · 01/01/2026 12:30
#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples