Nicolas Brugneaux nicolasbrugneaux

FOOD

I hereby claim:

To claim this, I am signing this object:

	// Place your settings in this file to overwrite the default settings
	{
	"editor.glyphMargin": false,
	"editor.wordWrap": "off",
	"workbench.colorCustomizations": {
	"editorIndentGuide.activeBackground": "#888",
	},
	"editor.codeActionsOnSave": {
	"source.organizeImports": false,
	"source.fixAll.eslint": true

	const fetch = require('node-fetch');

	const API_URL = 'https://slack.com/api/';
	const TOKEN = '?token=' + 'redacted';

	const DEFAULT_COUNT = 100; // as per slack's doc

	const PAST_THRESHHOLD = new Date();
	PAST_THRESHHOLD.setHours(-120 * 24, 0, 0, 0);

	require 'formula'

	# based on https://github.com/Homebrew/homebrew/pull/19833
	class Plv8 < Formula
	homepage 'http://code.google.com/p/plv8js/wiki/PLV8'
	version '2.0.0'
	url 'https://github.com/plv8/plv8/archive/master.zip'

	depends_on :postgresql

	import { cpus } from 'os';
	import cluster from 'cluster';

	if (cluster.isMaster) {
	getAllRows()
	.then(rows => {
	const CPUS = cpus().length;
	const chunked =chunks(rows, CPUS); // n rows into an array of length CPUS containing n/CPUS-ish rows (tries to balance)

	const statuses = chunked

	const getNumberFromCss = ( rules, cssName ) => parseInt( rules[cssName], 10 );

	export const makeDraggable = ( element ) =>
	{
	const initial =
	{
	x : null,
	y : null,
	top : null,
	right : null

	// http://blog.nishtahir.com/2015/09/19/fuzzy-string-matching-using-cosine-similarity/

	'use strict';

	Set.intersection = function*( set1, set2 )
	{
	for ( let value of set1.values() )
	{
	if ( set2.has( value ) )
	{

	// go to the proper iframe in the console, should be something like:
	// 'collection-app-spotify'...
	// run that
	[].map.call(document.querySelectorAll( 'div.list-group>.list-group-item-media.playable'), function(list){
	return list.getAttribute('data-uri')
	} );

	// copy all these links in http://resp.in/