Hao Guan hguandl

Tested on macOS Sonoma Developer beta 2 (23A5276g)

Build `libsk-libfido2.so`

Prerequisite

Download openssh-portable source code, install libcrypto, libfido2;
Configure openssh-portable build system by ./configure # [options].

Apply patch

Use previous/older SDKs with Xcode

Since monterey update does not allow us to use Xcode previous than 13, let's show how to "install previous SDKs"

Needed

Swift toolchains, from https://swift.org/download/

Previous Xcode.xip, from the https://developer.apple.com

If you have issues with installing numpy related packages on Big sur, these steps helped me: 1- Uninstall pyhon installed with homebrew and use python-installer. This resolves numpy issue. And it's better to install 1.18 or just anything bellow 1.19.

brew uninstall python

And install it from: https://www.python.org/downloads/
Then:

pip install numpy==1.18

Install Video Dummy Package

sudo apt-get install xserver-xorg-video-dummy

Create Default X Windows Configuration File

Create / Edit xorg.conf file Rename file if already exists for backup

FFmpeg Minimal Build for RTMP Streaming

This tutorial will work you through steps of configuring an FFmpeg build tailored for RTMP streaming on macOS. At first I think of making it support general live streaming, with additional protocols like HLS, but to keep things simple let's stick with RTMP for now. (Anyway, I do include HLS in the protocol list as well as some related bitstream filters but it's untested.)

Goal

The built FFmpeg executable should

	extension View {
	/// Adds a double click handler this view (macOS only)
	///
	/// Example
	/// ```
	/// Text("Hello")
	/// .onDoubleClick { print("Double click detected") }
	/// ```
	/// - Parameters:
	/// - handler: Block invoked when a double click is detected

	/**
	* @author github.com/luncliff ([email protected])
	* @brief Personal experiment with libdispatch in Apple platform.
	*
	* @note clang++ -std=c++2a -stdlib=libc++ -fcoroutines-ts
	* @see https://developer.apple.com/library/archive/documentation/General/Conceptual/ConcurrencyProgrammingGuide/Introduction/Introduction.html
	* @see https://apple.github.io/swift-corelibs-libdispatch/tutorial/
	*/
	#define CATCH_CONFIG_RUNNER
	#define CATCH_CONFIG_FAST_COMPILE

	import Cocoa

	// Say we have a Person model
	enum V1 {
	struct Person: Codable {
	let name: String
	var age: Int
	}
	}

	class BytesToTexture {
	func texture(bytes: [UInt8], bytesPerRow: Int) -> CGImage {
	let rgbaData = CFDataCreate(nil, bytes, bytes.count)!
	let provider = CGDataProvider(data: rgbaData)!
	let colorSpace = CGColorSpaceCreateDeviceRGB()
	let bitmapInfo = CGBitmapInfo(rawValue: CGImageAlphaInfo.noneSkipLast.rawValue)
	return CGImage(
	width: bytesPerRow / 4,
	height: bytes.count / bytesPerRow,
	bitsPerComponent: 8,

	tasks.withType<Jar> {
	manifest {
	attributes["Main-Class"] = "com.example.MainKt"
	}
	}