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# Back-Propagation Neural Networks
# 
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string

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# Back-Propagation Neural Networks
# another way: solve it as a Regression Problem
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string

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#!/usr/bin/env python
# Problem: http://www.weibo.com/2090476735/ynJtWvN1K
# junyi sun (weibo.com/treapdb)
from numpy import *

def Q(L):
    H = [0]*11
    H[0] = 1 #bias item
    for x in L:
        H[x+1]+=1

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var http=require('http')
	url =require("url")
var cluster = require('cluster');

if (cluster.isMaster) {
  // Fork workers.
  for (var i = 0; i < 20; i++) {
    cluster.fork();
  }

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import random
import time
size=100000000
t1 = time.time()
f=open('x.db','wb')
f.write('x'*size)
f.close()
print 'write:', time.time()-t1
f=open('x.db','rb')
t2=time.time()

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/* Simple Memcached in Javascript 
 * @Author: Sun, Junyi
 * @Email:  ccnusjy@gmail.com
 * @Date:   2012-8-3
*/
var net = require('net');
var store = {}

function handle_header(header,crlf_len){
	var tup = header.split(" ")

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//author: Sun, Junyi (weibo.com/treapdb)
//usage: node --nouse-idle-notification --expose-gc --max-old-space-size=8192 memcached.js

var config ={
  port: 11211,
  max_memory: 300 // default 100M bytes
}

var net = require('net');
var LRU = function (max) { // this LRU implementaion is based on https://github.com/chriso/lru

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var QBuffer = exports.QBuffer= function(){
	this.list = []
	this.length = 0
}

QBuffer.prototype.append=function(chunk){
	this.list.push(chunk)
	this.length += chunk.length
}

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package main

import (
	"net"
	"log"
	"fmt"
	"bufio"
	"strings"
	"strconv"
	"io"

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package main

import (
	"net/http"
	"net/url"
	"log"
	"io/ioutil"
	"regexp"
	"fmt"
	//"net/http/httputil"