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I want to understand how grub works. I cloned source code, I built it with ./configure --with-platform=pc make -j($nproc) But I didn't get any loadable disk image, that I could run in qemu. In developers manuals I read: The following command is a simple illustration: qemu-system-i386 -drive file=disk.img,format=raw \ -device virtio-scsi-pci,id=scsi0 -S -s This will start a QEMU instance booting from disk.img. It will pause at start waiting for a GDB instance to attach to it. You should change disk.img to something more appropriate. So, how I get something like disk.img to run in qemu. Where I can read about it? And how is the process of running grub in qemu looks like? I mean should I launch it with an OS image to test it, or what? I thought, that the main purpose of bootloader transfer control to OS kernel.

Overview I have the following view hierarchy that mixes SwiftUI and UIKit: AccordionView └─ VStack ├─ Text ├─ Button └─ UIViewRepresentable └─ UIStackView ├─ UILabel └─ UILabel When tapping the button, the UIViewRepresentable hides and shows its content. This all works as expected. However, in certain circumstances the view's sizing is rendered with the correct size, but the text can often render incorrectly, despite the frame seemingly looking as though it has enough room to render the text. More info Below you can see the UILabel has the correct frame height (the light grey background and coloured borders) but the text is rendered as though it has infinite width along one line. There's a few configurations of my view hierarchy that seem to have this effect. I've added a playground to the bottom of this

Is there a way to make a table in x code similar to the ones in notes where the user fills it out and the data is saved in an array. Thank you in advance. here is the image of the table in notes

I'm writing a program that creates neural networks. Each neural network will have 26 neurons corresponding to letters of the alphabet. Right now, I'm stuck trying to create the first neuron of the first class. Once i get it to take the information from the Neural_Network class parameters to the Neuron class parameters, i can create multiple neural networks, each with its own set of pre-named neurons based on the attributes of the neural network it belongs to. #Namecode for the main operation of the lobes and the main data stream Main = "MAIN" Main_Stream = "STRM" Frontal = "FRNT" Parietal = "PART" Temporal = "TEMP" Occipital = "OCCP" #Namecode for the operations of the Frontal lobe Problem_Solving = "ProbSolv" Judgement = "Judge" Personality = "Person" Emotions = "Emote" Speech = "Speech" Motor_Function = "MotoFunc" #Namecode for the opera

WireGuard settings: Server: wg0.conf [Interface] Address = 10.8.0.1/24 SaveConfig = false ListenPort = 51820 PrivateKey = <PrivateKey> [Peer] PublicKey = <PublicKey> AllowedIPs = 10.8.0.10/32 Client(Win10): [Interface] PrivateKey = <PrivateKey> Address = 10.8.0.10/32 DNS = 10.8.0.1 [Peer] PublicKey = <PublicKey> AllowedIPs = 10.8.0.1/32 Endpoint = <server ip> PersistentKeepalive = 25 Wireguard connection is established, ping to 10.8.0.10 from client is succeeded. PostgreSQL settings: postgresql.conf listen_addresses = '*' pg_hba.conf local all all trust host all all 0.0.0.0/0 trust ss -lntu | grep '5432' tcp LISTEN 0 200 0.0.0.0:5432 0.0.0.0:* tcp LISTEN 0 200 [::]:5432

I'm working on a React Native project with Expo, and my Expo Go app (on my phone) is stuck on an old version of my application. None of my recent code changes are showing up. The Problem: I can edit my files (like *.tsx files), and the code is definitely saved on my computer. However, when I run the app on my phone using the Expo Go QR code, the old version of the app loads every time. For example, text I have removed is still there, and new screens I have designed do not appear. What I Have Already Tried: I have tried all the standard solutions I could find, but the problem persists: 1. Stopping and restarting the Metro server. 2. Running the command npx expo start --clear to clear the bundler's cache. 3. Completely uninstalling the Expo Go app from my phone and reinstalling it from the app store. 4. Scanning the new QR code after each of these steps. Even after a fresh install of Expo Go, it still loads t

I'm working on a C++ project to process 3D meshes. (https://github.com/blackears/cyclops_tetrahedralizer). I want to add a public domain C file that implements some advanced floating point mathematics. (https://github.com/libigl/libigl-predicates) I'm using cmake to build the project and running into an issue where it says it can't find the symbol to link from the predicates file. unresolved external symbol orient3d referenced in function "public: static double __cdecl CyclopsTetra3D::Math::test_orient_3d(struct CyclopsTetra3D::Vector3 const &,struct CyclopsTetra3D::Vector3 const &,struct CyclopsTetra3D::Vector3 const &,struct CyclopsTetra3D::Vector3 const &)" (?test_orient_3d@Math@CyclopsTetra3D@@SANAEBUVector3@2@000@Z) The method is

I want to improve my system resource check on Windows 10. Currently I use the PerformanceCounter to get the core values. I read the information every second and show a little message when the usages is very high. For example, I display a warning if a ProcessorCoreTime is more then 90%. Is there any way to remove the polling mechanism? Can I observe something that give me an event if the ProcessorCoreTime reach a specific limit?

I would like to develop a raku script that can search a word list for words of the same length which contain the same characters except for one. For example 'castle' and 'cattle' would be appropriate output. If possible, I would like to be able to specify the letters that differ. In the preceding case I should be able to specify 's/t'

Do you feel that the rise of AI tools is replacing the need to find answers here on SO? In my experience, AI tools are helpful in many cases, but they often lack the deep, nuanced context we find here. Depending on the data the AI was trained on, the answers can sometimes feel like those irrelevant posts we see that don't actually address the original question. I believe this platform still has a lot of potential as a space to exchange experiences and ideas that AI simply can't replicate as it needs to train on that new data overtime. I’d welcome your thoughts on this!