danielbierwirth

// This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. 
// To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ 
// or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
using System;
using System.Collections;
using System.Collections.Generic;
using System.Net.Sockets;
using System.Text;
using System.Threading;
using UnityEngine;

pqina

<?

// Link image type to correct image loader and saver
// - makes it easier to add additional types later on
// - makes the function easier to read
const IMAGE_HANDLERS = [
    IMAGETYPE_JPEG => [
        'load' => 'imagecreatefromjpeg',
        'save' => 'imagejpeg',
        'quality' => 100

application2000

These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

alibo

aagontuk

/*
 * [PROG]		: Red Black Tree
 * [AUTHOR]		: Ashfaqur Rahman <sajib.finix@gmail.com>
 * [PURPOSE]		: Red-Black tree is an algorithm for creating a balanced
 * 			  binary search tree data structure. Implementing a red-balck tree
 * 			  data structure is the purpose of this program.
 * 
 * [DESCRIPTION]	: Its almost like the normal binary search tree data structure. But
 * 			  for keeping the tree balanced an extra color field is introduced to each node.
 *			  This tree will mantain bellow properties.

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

JSchaenzle

#include <string.h>
#include <stdio.h>
#include <iostream>
#include <fstream>
#include <vector>
#include "rapidxml-1.13/rapidxml.hpp"

using namespace rapidxml;
using namespace std;