blainerothrock

#!/usr/bin/env xcrun swift -O

/*
gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
-------------------- https://gist.github.com/cfdrake/973505 ---------------------
gen.swift implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.
The parameters of the simulation can be changed by modifying one of the many

hollance

/*
  The "hello world" of neural networks: a simple 3-layer feed-forward
  network that implements an XOR logic gate.

  The first layer is the input layer. It has two neurons a and b, which
  are the two inputs to the XOR gate.

  The middle layer is the hidden layer. This has two neurons h1, h2 that
  will learn what it means to be an XOR gate.
 

djungelorm

import os
from krpctools.clientgen.generator import Generator
from krpctools.clientgen.docparser import DocParser

class ExampleGenerator(Generator):

    def __init__(self, macro_template, service, definition_files):
        super(ExampleGenerator, self).__init__(macro_template, service, definition_files)

    @classmethod

calebd

CFRunLoopSource is cool. It lets you build behavior similar to the mechanisms that drive setNeedsLayout and setNeedsDisplay in UIKit.

I found myself in need of something like this a couple of times. It's great to know that no matter how many times I say I need to update something, I will get a single callback at the end of the run loop that gives me a chance to perform my work.

Here is a little Swift wrapper that makes the API easier to deal with.

roddds

To everyone who got here through Twitter or Facebook or Hacker News or whatever: THIS IS NOT ME.

The "Me" in this transcript is @raddevon, who shared his story first on reddit.

---

List of incompetent jackasses who can't check a source if their lives depended on it:

• geek.com
• nasdaq.com
• craveonline.com

oleganza

Async semantics proposal for Swift

Modern Cocoa development involves a lot of asynchronous programming using blocks and NSOperations. A lot of APIs are exposing blocks and they are more natural to write a lot of logic, so we'll only focus on block-based APIs.

Block-based APIs are hard to use when number of operations grows and dependencies between them become more complicated. In this paper I introduce asynchronous semantics and Promise type to Swift language (borrowing ideas from design of throw-try-catch and optionals). Functions can opt-in to become async, programmer can compose complex logic involving asynchronous operations while compiler produces necessary closures to implement that logic. This proposal does not propose new runtime model, nor "actors" or "coroutines".

Table of contents

JadenGeller

/*
 * We've defined "traits" by which we can type an integer that are characteristic of its value.
 * These traits can even be subtraits of other traits (like both positive and negative being nonzero).
 *
 * We can use these traits in the type signatures of functions to indicate what trait will be returned
 * as a function of the passed-in traits. 
 *
 * Even cooler, we can specify properties of the traits such that we can runtime-verify the correctness
 * of these labels (in case a function was improperly annotated, for example).
 */

non

What is the appeal of dynamically-typed languages?

Kris Nuttycombe asks:

I genuinely wish I understood the appeal of unityped languages better. Can someone who really knows both well-typed and unityped explain?

I think the terms well-typed and unityped are a bit of question-begging here (you might as well say good-typed versus bad-typed), so instead I will say statically-typed and dynamically-typed.

I'm going to approach this article using Scala to stand-in for static typing and Python for dynamic typing. I feel like I am credibly proficient both languages: I don't currently write a lot of Python, but I still have affection for the language, and have probably written hundreds of thousands of lines of Python code over the years.

JadenGeller

// Fibonacci example

var machine = VirtualMachine()
machine.instructions = [
    1 <- /0,     // Set register 1 to number 0
    2 <- /1,     // Set register 2 to number 1
    "loop",      // Label line for jumping back
    4 <- ++4,    // Set register 4 to the value of register 4 plus 1
    3 <- 1 + 2,  // Set register 3 to the sum of the values in register 1 and 2
    1 <- 2,      // Set register 1 to the value of register 2

JadenGeller

// Let's declare two structs that with different variables and different boolean values:

struct A {
    let x = true
}

struct B {
    let y = false
}