mattmassicotte

import SwiftUI
import AsyncAlgorithms

struct AsyncChanges<V>: ViewModifier where V : Equatable, V: Sendable {
    typealias Element = (oldValue: V, newValue: V)
    typealias Action = (AsyncStream<Element>) async -> Void

    @State private var streamPair = AsyncStream<Element>.makeStream()
    private let action: Action
    private let value: V

tkersey

struct ReducedReplayAsyncStream<Element> {

    typealias Reduce = (_ partialResult: inout Element, _ nextResult: Element) -> Void

    private let storage: _Storage
    private var originalStream: AsyncStream<Element>

    init(
        bufferingPolicy limit: AsyncStream<Element>.Continuation.BufferingPolicy = .unbounded,
        initialResult: Element,

bobatkey

{-# OPTIONS --postfix-projections #-}

module tuple where





------------------------------------------------------------------------------
--

sjoerdvisscher

-- https://www.youtube.com/watch?v=YpklMn5yNA0
{-# LANGUAGE RankNTypes, QuantifiedConstraints #-}
{-# LANGUAGE UndecidableInstances #-}
{-# LANGUAGE GADTs #-}
import Prelude (id, (.), ($), Functor(..), (<$>), fst)
import Data.Functor.Identity (Identity(..))
import Data.Void
import Data.Bifunctor (second)

class Feedback m where

ole

#!/bin/zsh

# Test if the Swift compiler knows about a particular language feature.
#
# Usage:
#
#     swift-has-feature [--swift SWIFT_PATH] [--language-version LANGUAGE_VERSION] FEATURE
#
# The feature should be an upcoming or experimental language feature,
# such as `"StrictConcurrency"` or `"ExistentialAny"`.

KhaosT

Keyboard & Trackpad for Apple Vision Pro

Over the last few months, in preparation for Apple Vision Pro, I started a quest to find a good portable keyboard + trackpad setup for the headset. After testing out a wide range of those from the market, here are my findings. Hope it helps people looking for the same.

The impression is based on testing out the keyboard/trackpad with iPadOS, as it shares the similar infrastructure for external input support as visionOS.

After testing on real hardware, visionOS disabled support for any non-Apple trackpad... So feel free to ignore everything about non-Apple trackpad here.

tkersey

iOS Memory Deep Dive

• vmmap --summary X.memgraph
• vmmap X.memgraph | rg "MEMORY REGION NAME"
• vmmap --verbose X.memgraph | rg "MEMORYREGION"
• leaks --traceTree 0xSTARTINGMEMORYADDRESS
• malloc_history X.memgraph --fullStacks 0xSTARTINGMEMORYADRESS
• Other helpful commands
  • vmmap --pages X.memgraph
  • leaks X.memgraph
• heap X.memgraph

KhaosT

Displaying HDMI sources on Apple Vision Pro

While it's possible to stream most content to Apple Vision Pro directly over the internet, having the ability to use Apple Vision Pro as an HDMI display can still be useful.

Since Apple Vision Pro does not support connecting to an HDMI input directly or using an HDMI capture card, we have to be a little creative to make this work. NDI provides the ability to stream HDMI content over a local network with really low latency, and it works great with Apple Vision Pro.

This page shows the setup I’m using.

Alex-Ozun

enum Parked {}
enum Driving {}
enum Gaming {}

private class EngineSystem {
  static var shared = EngineSystem()
  private init() {}
  
  func start() {/**/}
  func accelerate() { /* Uses gas pedal input to accelerate the real car */ }

saagarjha

// Sometimes you have a large file on a small disk and would like to "transform"
// it in some way: for example, by decompressing it. However, you might not have
// enough space on disk to keep both the the compressed file and the
// decompressed results. If the process can be done in a streaming fashion, it
// would be nice if the file could be "drained"; that is, the file would be
// sequentially deleted as it is consumed. At the start you'd have 100% of the
// original file, somewhere in the middle you'd have about half of the original
// file and half of your output, and by the end the original file will be gone
// and you'll be left with just the results. If you do it this way, you might
// be able to do the entire operation without extra space!