theodorosploumis

Profile	download (kb/s)	upload (kb/s)	latency (ms)
Native	0	0	0
GPRS	50	20	500
56K Dial-up	50	30	120
Mobile EDGE	240	200	840
2G Regular	250	50	300
2G Good	450	150	150
3G Slow	780	330	200

simonjenny

# -*- coding: utf-8 -*-
import os, pygame, random

pygame.init()
pygame.mouse.set_visible(False)

BACKGROUND  = (0,0,0)
INTERVAL    = os.getenv('INTERVAL', 60)
IMAGEFOLDER = os.getenv('IMAGEFOLDER', 'images')

ingconti

//
//  QRImage.swift
//  QRCodeSample
//
//  Created by ing.conti on 08/06/2019.
//  Copyright © 2019 ing.conti. All rights reserved.
//

sgr-ksmt

extension DispatchQueue {
    class func mainSyncSafe(execute work: () -> Void) {
        if Thread.isMainThread {
            work()
        } else {
            DispatchQueue.main.sync(execute: work)
        }
    }

    class func mainSyncSafe<T>(execute work: () throws -> T) rethrows -> T {

dennislysenko

// Fuzzy string-matching algorithm
// Implementation of algorithm described at: http://blog.notdot.net/2007/4/Damn-Cool-Algorithms-Part-1-BK-Trees
// Essentially builds an index of strings by levenshtein distance (N-ary tree) on which you can run range queries.
// The root node can be chosen arbitrarily. Each node holds a string and a collection of edges, representing distance to other strings, which then have their own children and so on, building a complete index.
// See https://github.com/vy/bk-tree for (impressive) performance statistics despite this tending to create an unbalanced N-ary tree

class BKTreeNode {
    var value: String

    var edges: Dictionary<Int, BKTreeNode>

endolith