gtkatakura

// funciona somente com v3.1.6, essa estrategia de end/continue
// era um backdoor para fazer recursao em types, recursao funcionava somente com interfaces
// antigamente pela resolucao de tipos ser lazyness e nao acabar fazendo o compiler cair
// potencialmente em um looping infinito na resolucao do tipo, por causa disto tem validacao
// no compiler agora e codigos nesse estilo sao barrados pelo compiler

type Init<T extends any[], TTail extends any[] = TailArray<T>> = CastArray<{
  [K in keyof TTail]: T[keyof T & K];
}>

aturley

Pony Considerations

If you're thinking of checking out the Pony programming language, here's a list of things that I think are important to know. This list is based on a Tweet that I wrote.

Editor/IDE support

There are Pony packages for several popular editors.

• Emacs
• Sublime

EdOverflow

GitHub for Bug Bounty Hunters

GitHub repositories can disclose all sorts of potentially valuable information for bug bounty hunters. The targets do not always have to be open source for there to be issues. Organization members and their open source projects can sometimes accidentally expose information that could be used against the target company. in this article I will give you a brief overview that should help you get started targeting GitHub repositories for vulnerabilities and for general recon.

Mass Cloning

You can just do your research on github.com, but I would suggest cloning all the target's repositories so that you can run your tests locally. I would highly recommend @mazen160's GitHubCloner. Just run the script and you should be good to go.

$ python githubcloner.py --org organization -o /tmp/output

eeue56

import xml 
import xml.etree.ElementTree as ET
from collections import defaultdict

PREFIX = defaultdict(lambda: "Svg.Attributes")
#PREFIX['href'] = 'Html.Attributes'


def open_file(filename):
	with open(filename) as f:

yang-wei

Should be work with 0.18

Destructuring(or pattern matching) is a way used to extract data from a data structure(tuple, list, record) that mirros the construction. Compare to other languages, Elm support much less destructuring but let's see what it got !

Tuple

myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))

netsensei

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX v: <http://www.wikidata.org/prop/statement/>
PREFIX q: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT ?s ?sLabel ?lLabel ?geo {
  ?s wdt:P31 wd:Q1565828 .

ventsislaf

Note: Don't do this on a production evniroment!

Get the heroku database name:

heroku pg:info

Name can be found in the reponse from the command above. For example: Add-on: soaring-newly-1337.

mgold

Using Mailboxes in Elm

Max Goldstein | July 30, 2015 | Elm 0.15.1

In Elm, signals always have a data source associated with them. Window.dimensions is exactly what you think it is, and you can't send your own events on it. You can derive your own signals from these primitives using map, filter, and merge, but the timing of events is beyond your control.

This becomes a problem when you try to add UI elements. We want to be able to add checkboxes and dropdown menus, and to receive the current state of these elements as a signal. So how do we do that?

The Bad Old Days

Integralist

const flattenTco = ([first, ...rest], accumulator) => 
  (first === undefined)
    ? accumulator
    : (Array.isArray(first))
      ? flattenTco([...first, ...rest])
      : flattenTco(rest, accumulator.concat(first))
  
const flatten = (n) => flattenTco(n, []);
  
console.log(flatten([[1,[2,[[3]]]],4,[5,[[[6]]]]]))

TheSeamau5

import List (map, (::))
import Color (Color, rgb)
import Keyboard (arrows)
import Signal (Signal, (<~), foldp)
import Graphics.Collage (square, circle, move, filled, collage, Form)
import Graphics.Element (Element)

type alias Vector = {
    x : Float,
    y : Float