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@brennanMKE
brennanMKE / BytesPlayground.swift
Last active December 16, 2023 18:30
Copy bytes from Data with Swift
import Foundation
let size = MemoryLayout<Int16>.stride
let data = Data(bytes: [1, 0, 2, 0, 3, 0]) // little endian for 16-bit values
let int16s = data.withUnsafeBytes { (bytes: UnsafePointer<Int16>) in
Array(UnsafeBufferPointer(start: bytes, count: data.count / size))
}
let length = data.count * MemoryLayout<Int16>.stride
@lattner
lattner / TaskConcurrencyManifesto.md
Last active May 23, 2026 07:33
Swift Concurrency Manifesto
@scturtle
scturtle / icp.py
Created March 31, 2017 12:57
Least-Squares Fitting of Two 3-D Point Sets
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from transforms3d import euler
fig = plt.figure()
ax = fig.gca(projection='3d')
p1 = np.zeros((3, 100))
p1[0, :] = np.linspace(1, 3, 100)
@CodaFi
CodaFi / Channel.swift
Created February 27, 2017 22:45
[WIP] Session Types as good as I could get em. Ported from the Rust implementation by Philip Munksgaard.
//
// Channel.swift
// Sessions
//
// Created by Robert Widmann on 2/27/17.
// Copyright © 2017 TypeLift. All rights reserved.
//
enum FakeError : Error {
case Error
@notheotherben
notheotherben / README.md
Created February 10, 2017 11:58
PEG Grammar for Command Line Parsing

Command Line Parsing Grammar

This grammar allows you to parse command lines for program execution into their various components - specifically: environment variables, the executable itself and any arguments passed to the executable.

It will take an input like the following:

ENV_X=true ENV_Y="yes please" ./test/my_exec arg1 -f1 "arg with spaces" 'another arg' --flag2 yet\ another\ arg --flag=10
import Foundation
/// A type representing an concrete part of an application, such that it can be
/// identified in logs.
///
/// A typical use is as a nested type:
///
/// extension MyViewController {
/// enum Log: Error {
/// case user
@bzamecnik
bzamecnik / README.md
Last active November 16, 2023 08:58
Anaconda Python script running as systemd service

Anaconda Python script running as systemd service

This way a Python daemon can be installed on Rasbian, Ubuntu or similar systems using systemd.

Installing:

sudo cp hello.service /lib/systemd/system/hello.service
sudo systemctl daemon-reload
sudo systemctl enable hello.service
@zwaldowski
zwaldowski / Extra Logging for My Great App.mobileconfig
Last active April 18, 2026 03:45
Apple Configuration Profile for Logging in iOS 10 and macOS Sierra
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<!-- iOS 10, macOS Sierra, and friends bring a new logging subsystem that's
supposed to scale from the kernel, up to frameworks, and up to apps. It defaults
to a more regimented, privacy-focused approach that large apps and complex
systems need.
It, along with Activity Tracing introduced in iOS 8 and macOS Yosemite and the
Console app in macOS Sierra, hope to help you graduate from caveman debugging to
@zwaldowski
zwaldowski / Activity.swift
Last active December 8, 2025 15:28
os_activity_t for Swift 3
//
// Activity.swift
//
// Created by Zachary Waldowski on 8/21/16.
// Copyright © 2016 Zachary Waldowski. Licensed under MIT.
//
import os.activity
private final class LegacyActivityContext {
@andymatuschak
andymatuschak / States-v3.md
Last active May 17, 2026 19:29
A composable pattern for pure state machines with effects (draft v3)

A composable pattern for pure state machines with effects

State machines are everywhere in interactive systems, but they're rarely defined clearly and explicitly. Given some big blob of code including implicit state machines, which transitions are possible and under what conditions? What effects take place on what transitions?

There are existing design patterns for state machines, but all the patterns I've seen complect side effects with the structure of the state machine itself. Instances of these patterns are difficult to test without mocking, and they end up with more dependencies. Worse, the classic patterns compose poorly: hierarchical state machines are typically not straightforward extensions. The functional programming world has solutions, but they don't transpose neatly enough to be broadly usable in mainstream languages.

Here I present a composable pattern for pure state machiness with effects,