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#/bin/bash
# Author : laomo <laomo@lmbj.net>
# Donate Address : https://ripple.com//send?to=rQKFznLaiyT55YXSS33fE6NgTjKbrnN4gT

sudo apt-get update
sudo apt-get install libxss1 libstdc++5 ia32-libs freeglut3
#optional(for see the tasks)
sudo apt-get install htop

wget http://boinc.berkeley.edu/dl/boinc_7.2.33_x86_64-pc-linux-gnu.sh

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from rq import Queue, Worker, Connection

if __name__ == '__main__':
	with Connection():
		q = Queue()
		Worker(q).work()

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from time import sleep
import tornado
from multiprocessing.pool import ThreadPool

_workers = ThreadPool(10)

class BackgroundMix(tornado.web.RequestHandler):
    """将block任务放入线程池中执行
    EXAMPLE:
        # blocking task like querying to MySQL

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from concurrent.futures import ThreadPoolExecutor
from functools import partial, wraps
import time

import tornado.ioloop
import tornado.web


EXECUTOR = ThreadPoolExecutor(max_workers=4)

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from concurrent.futures import ThreadPoolExecutor
from functools import partial, wraps
import time

import tornado.ioloop
import tornado.web


EXECUTOR = ThreadPoolExecutor(max_workers=4)

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from threading import Thread


def busy_sleep(n):
    while n > 0:
        n -= 1


N = 99999999
t1 = Thread(target=busy_sleep, args=(N, ))

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import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web

class BaseHandler(tornado.web.RequestHandler):
	pass
	
class HandlerMixin(object):
	listeners = []

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This Gist is for my post: http://www.andretw.com/2013/10/What-you-should-know-before-using-DataTables.html

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from collections import namedtuple
from pymongo import MongoClient
from flask import request
from core.web.site import app
from core.web.site.views_master import *
import json

'''
$('#companies').dataTable( {
            "bProcessing": true,