多线程,多进程和异步IO

Posted silence-cho

tags:

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1.多线程网络IO请求:

技术分享图片
#!/usr/bin/python
#coding:utf-8

from concurrent.futures import ThreadPoolExecutor
import requests
#线程池
# def get_page(url):
#     response = requests.get(url)
#     print response.url
#     return response
#
# urllist=["https://www.baidu.com/","https://www.jianshu.com/","https://i.cnblogs.com/"]
# pool = ThreadPoolExecutor(5) #最多能运行5个线程
# for url in urllist:
#     pool.submit(get_page,url)  #将线程(函数和参数)提交到线程池中
# pool.shutdownn(wait=True)


#线程池加回调函数
def get_page(url):
    response = requests.get(url)
    print response.url
    return response
def callback(future):
    print future.result
urllist=["https://www.baidu.com/","https://www.jianshu.com/","https://i.cnblogs.com/"]
pool = ThreadPoolExecutor(5) #最多能运行5个线程
for url in urllist:
    future = pool.submit(get_page,url)  #将线程(函数和参数)提交到线程池中,返回Future对象
    future.add_done_callback(callback)
pool.shutdownn(wait=True)
线程池加回调函数

2.多进程网络IO请求:

技术分享图片
#!/usr/bin/python
#coding:utf-8

from concurrent.futures import ProcessPoolExecutor
import requests
#进程池加会调函数
# def get_page(url):
#     response = requests.get(url)
#     print response.url
#     return response
#
# urllist=["https://www.baidu.com/","https://www.jianshu.com/","https://i.cnblogs.com/"]
# pool = ProcessPoolExecutor(5)
#
# for url in urllist:
#     pool.submit(get_page,url)
# pool.shutdown(wait=True)

#进程池加回调函数
def get_page(url):
    response = requests.get(url)
    print response.url
    return response
def callback(future):
    print future.result()

urllist=["https://www.baidu.com/","https://www.jianshu.com/","https://i.cnblogs.com/"]
pool = ProcessPoolExecutor(5)
for url in urllist:
    future = pool.submit(get_page,url)
    future.add_done_callback(callback)
pool.shutdown(wait=True)
多进程加回调函数

上面执行结果如下:

技术分享图片

每一个请求发出后等待结果而阻塞,造成了进程或线程资源浪费。异步IO能更好的解决问题,即请求发出后不等待结果,而继续处理其他业务,待网页结果返回后再进行处理。

3. 异步IO请求:

3.1,asyncio模块:asyncio是Python 3.4版本引入的标准库,直接内置了对异步IO的支持

https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000/001432090954004980bd351f2cd4cc18c9e6c06d855c498000

 asyncio是一个事件循环(EventLoop),通过装饰器@asyncio.coroutine将一个generator(需要完成的任务)标识为coroutine(协程)类型,然后将多个coroutine放入到EventLoop中执行就能实现异步IO了。

技术分享图片
#!/usr/bin/python
#coding:utf-8

import asyncio

@asyncio.coroutine
def get_page(host,url=/):
    print host
    reader,writer = yield from asyncio.open_connection(host,80)
    request_header = "Get %s HTTP/1.0
Host: %s

"%(url,host)
    writer.write(bytes(request_header,encoding=utf-8))
    yield from writer.drain()
    text = yield from reader.read()
    print(host,url,text)
    writer.close()

tasks=[
    get_page("www.cnblogs.com","silence-cho"),
    get_page("www.sina.com.cn"),
    get_page("www.163.com")
       ]
loop = asyncio.get_event_loop()
results = loop.run_until_complete(asyncio.gather(*tasks))
loop.close()
myAsyncio.py

上面执行结果如下:

技术分享图片

三个请求(协程)是在一个线程中执行的,但能够并发执行。即第一个协程碰到网络IO后切换到第二个协程,第二个协程同样碰到IO时切换到第三个协程,而当三个网络IO中有返回结果时,切回到该协程继续执行,从而实现异步IO和并发执行

3.2,asyncio+aiohttp:  asyncio实现了实现了TCP、UDP、SSL等协议,aiohttp则是基于asyncio实现的http框架,aiohttp封装了web,request等方法。

aiohttp文档:https://aiohttp.readthedocs.io/en/stable/client_quickstart.html#make-a-request

3.3,asyncio+requests:

3.4,gevent+requests: gevent为python第三方库,提供了完善的协程支持。gevent通过greenlet实现协程。当一个greenlet遇到IO操作时,比如访问网络,就自动切换到其他的greenlet,等到IO操作完成,再在适当的时候切换回来继续执行。由于IO操作非常耗时,经常使程序处于等待状态,有了gevent为我们自动切换协程,就保证总有greenlet在运行,而不是等待IO。

技术分享图片
#!/usr/bin/python
#coding:utf-8

import gevent
import requests
from gevent import monkey

def get_page(method,url,kwargs):
    print(url,kwargs)
    response = requests.request(method=method,url=url,**kwargs)
    print(response.url,response.content)

#发送请求
gevent.joinall([
    gevent.spawn(get_page,method=get,url="https://www.baidu.com/",kwargs={}),
    gevent.spawn(get_page,method=get,url="https://www.sina.com.cn/",kwargs={}),
])

#发送请求:控制最大协程数量
# from gevent.pool import Pool
# pool = Pool(None)
# gevent.joinall([
#     pool.spawn(get_page,method=‘get‘,url="https://www.baidu.com/",kwargs={}),
#     pool.spawn(get_page,method=‘get‘,url="https://www.sina.com.cn/",kwargs={}),
# ])
gevent+requests

3.5,grequests

技术分享图片
#!/usr/bin/python
#coding:utf-8

#grequests可以简单理解为结合了gevent和requests

import grequests

request_list = [
    grequests.get(http://www.baidu.com/, timeout=0.001),
    grequests.get(http://sina.com.cn/),
]
grequests

3.6,Twisted框架

 

3.7, Tornado框架

使用顺序:gevent > Twisted >Tornado >asyncio

4, 自定义异步IO框架:

上面这些异步IO框架,本质上都是基于非阻塞socket + IO多路复用(select)实现的。

非阻塞socket:

  在进行网络请求时,主要是客户端socket和服务端socket之间的通信,客户端socket的请求流程如下代码所示,包括建立连接,发送请求和接收数据。其中connect()和recv()方法都会发生阻塞,直到服务端有响应时才会结束阻塞而向下执行。而当利用setblocking(False)时,socket在connect()和recv()时都会变成非阻塞,但是会直接抛出异常(没有接受到服务端的响应),可以捕获这个异常来做其他的任务,同时监听connect的状态,连接成功时继续执行连接后的发送请求任务,select可以完成对socket状态的监听。

import socket

#阻塞型
soc = socket.socket()
soc.connect(("www.baidu.com",80))   #和服务端socket建立连接
request = """GET / HTTP/1.0
Host: www.baidu.com

"""
soc.send(request.encode(utf-8))    #向服务端发送请求头
response = soc.recv(8096)        #接受服务端返回数据
print response

#非阻塞型
# soc = socket.socket()
# soc.setblocking(False)      #socket变成非阻塞,但是执行connect()会直接抛出异常(BlockingIOError)
# try:
#     soc.connect(("www.baidu.com",80))
# except Exception as e:
#        pass

IO多路复用(select):

  select 可以同时监听多个文件描述符或socket对象的状态,接受四个参数rlist, wlist, xlist,timeout(可选),返回三个列表:r, w, e ;这里只谈论socket对象的部分:

  r, w, e = select.select(rlist, wlist, xlist [, timeout] )

参数:

  rlist: 包含socket对象的列表,select监听其是否可以被读取   (有数据传来)

  wlist:包含socket对象的列表,select监听其是否可以被写入    (连接上服务器)

  xlist:包含socket对象的列表,select监听其是否发生异常

  timeout: 监听时最多等待时间

返回值

  r : 返回rlist的子集,其包含的socket对象接收到了服务端发来的数据(可以读取了)

  w:返回wlist的子集,其包含的socket对象连接上服务器,可以发送请求了(可以写入了)

  x:返回wlist的子集,其包含的socket对象发生异常

  监听列表中的元素除了为文件描述符和socket外,还可以为实现了fileno() (必须返回文件描述符)的任意对象,如下面的HttpContext对象。

class HttpContext(object):

    def __init__(self,socket):
        self.soc = socket

    def fileno(self):
        return self.soc.fileno()

 基于异步IO的客户端:

技术分享图片
#!/usr/bin/python
#coding:utf-8

import socket
import select

class HttpResponse(object):
    def __init__(self,recv_data):
        self.data = recv_data
        self.headers = []
        self.body = None
        self.initializa()

    def initializa(self):
        headers,body=self.data.split(

,1)
        self.body=body
        self.headers=headers.split(
)

class HttpContext(object):

    def __init__(self,socket,task):
        self.host = task[host]
        self.port = task[port]
        self.url = task[url]
        self.method = task[method]
        self.data = task[data]
        self.callback = task[callback]
        self.soc = socket
        self.buffer = []

    def fileno(self):
        return self.soc.fileno()

    def send_request(self):
        request = """%s %s HTTP/1.0
Host:%s

%s"""%(self.method,self.url,self.host,self.data)
        self.soc.send(request.encode(utf-8))
    def receive(self,size):
        return self.soc.recv(size)

    def finish(self):
        recv_data = ‘‘.join(self.buffer)
        self.soc.close()
        response = HttpResponse(recv_data)
        self.callback(self.host,response)

class AsyncRequest(object):
    def __init__(self):
        self.connection=[]
        self.connected=[]

    def set_request(self,task):

        try: #必须进行异常捕获,否则会报错,[Errno 10035]
            soc = socket.socket()
            soc.setblocking(0)
            soc.connect((task[host],task[port]))
        except socket.error as e:
            pass
        request = HttpContext(soc,task)
        print request.host
        self.connected.append(request)
        self.connection.append(request)

    def run(self):

        while True:
            r, w, e = select.select(self.connected, self.connection, self.connected, 0.05)

            # w中存放的socket连接上了服务器
            for request_obj in w:
                request_obj.send_request()
                self.connection.remove(request_obj)

            #r中存放的socket收到了服务器传递来的数据
            for request_obj in r:
                while True:
                    try: #必须进行异常捕获,否则会报错,[Errno 10035]
                        res = request_obj.receive(8096)
                        if not res:
                            break
                        else:
                            request_obj.buffer.append(res)
                    except socket.error as e:
                        pass
                request_obj.finish()
                self.connected.remove(request_obj)
            if len(self.connected)==0:
                break

def result(host,response):
    print host
    print response.headers
    #print response.body

loop = AsyncRequest()
url_list = [
    {host:cn.bing.com,port:80,url:/,method:GET,data:‘‘,timeout:5,callback:result},
    {host:www.baidu.com,port:80,url:/,method:GET,data:‘‘,timeout:5,callback:result},
    {host:www.sina.com,port:80,url:/,method:GET,data:‘‘,timeout:5,callback:result},
]
for item in url_list:
    loop.set_request(item)
loop.run()
异步IO客户端

执行结果如下,实现了一个线程中的并发,发送三个请求,并当有结果返回时,调用相应的回调函数处理请求。

技术分享图片

 

 基于异步IO的服务端:

技术分享图片
#!/usr/bin/python
#coding:utf-8
# 一个简单的异步IO服务端
import socket
import select

soc = socket.socket()
soc.bind(("127.0.0.1",8080))
soc.listen(5)
soc.setblocking(0)
inputs = [soc,]
outputs = []

while True:
    r,w,e = select.select(inputs,outputs,inputs)

    for sk in r:
        if sk==soc:  # 服务端收到客户端的连接
            ck,address = soc.accept()
            print "有连接来了:",address
            msg = 连接上了。。。。
            ck.send(msg)
            ck.setblocking(0)
            inputs.append(ck)    #将客户端socket加入监听队列
        else:  #  客户端发来数据
            buffer=[]
            while True:
                try:  #必须捕捉异常,否则会报错,[Errno 10035]
                    data = sk.recv(1024)
                except socket.error as e:
                    data=None
                if not data:
                    break
                buffer.append(data)
                recv_data = ‘‘.join(buffer)
                print "接收到数据:%s" % recv_data
                inputs.remove(sk)
                sk.close()
#客户端代码
# import socket
# for i in range(3):
#     soc = socket.socket()
#     soc.connect((‘127.0.0.1‘,8080))
#     response = soc.recv(8096)
#     print i,response.decode(‘utf-8‘)
#     soc.send(‘我是socket--%s‘%i)
服务端
技术分享图片
import socket

soc1 = socket.socket()
soc1.connect((127.0.0.1,8080))
soc2 = socket.socket()
soc2.connect((127.0.0.1,8080))
soc3 = socket.socket()
soc3.connect((127.0.0.1,8080))
soc1.send(我是socket--%s%1)
soc2.send(我是socket--%s%2)
soc3.send(我是socket--%s%3)
测试客户端一

对于测试客户端一,执行后,服务端结果如下,客户端三个socket都先连接上,随后发送的数据也成功接收,能实现一定的异步IO。

技术分享图片

 

技术分享图片
import socket
for i in range(3):
    soc = socket.socket()
    soc.connect((127.0.0.1,8080))
    response = soc.recv(8096)
    print i,response.decode(utf-8)
    soc.send(我是socket--%s%i)
测试客户端二

对于测试客户端二,执行后,服务端结果如下,客户端三个socket都连接上,且发送的数据也成功接收,但是服务器依次处理每个请求,并不能异步,这是因为客户端和服务器间的数据交互期间会阻塞。

技术分享图片

类似于tornado的异步非阻塞web框架(浏览器为客户端)

1. 版本一

技术分享图片
#!/usr/bin/python
#coding:utf-8
# 一个简单的异步IO服务端
import socket
import select
import time

class HttpResponse(object):

    def __init__(self,content):
        self.content = content
        self.body = None
        self.method=‘‘
        self.url=‘‘
        self.protocol=‘‘
        self.headers = {}
        self.initialize()
    def initialize(self):
        header,body = self.content.split(

,1)
        header_list = header.split(
)
        self.body=body
        #print header_list  #[‘GET / HTTP/1.1‘, ‘Host: 127.0.0.1:8080‘, ‘User-Agent: Mozilla/5.0 (Windows NT 6.1; rv:63.0) Gecko/20100101 Firefox/63.0‘, ‘Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8‘, ‘Accept-Language: zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2‘, ‘Accept-Encoding: gzip, deflate‘, ‘Connection: keep-alive‘, ‘Upgrade-Insecure-Requests: 1‘]
        for item in header_list:
            temp = item.split(:)
            if len(temp)==1:
                self.method,self.url,self.protocol=temp[0].split( )
            elif len(temp)==2:
                self.headers[temp[0]] = temp[1]


soc = socket.socket()
soc.bind(("127.0.0.1",8080))
soc.listen(5)
soc.setblocking(0)
inputs = [soc,]
outputs = []


def main(request):
    time.sleep(10)
    return main

def page(request):
    return page

routers = [
    (r/main,main),
    (r/page,page),
]

while True:
    r,w,e = select.select(inputs,outputs,inputs)
    print r
    for sk in r:
        if sk==soc:  # 服务端收到客户端的连接
            print sk,sk
            ck,address = soc.accept()
            print "有连接来了:",address
            # msg = ‘连接上了。。。。‘
            # ck.send(msg)
            ck.setblocking(0)
            inputs.append(ck)    #将客户端socket加入监听队列
        else:  #  客户端发来数据
            print sk, sk2
            buffer=[]
            while True:
                try:  #必须捕捉异常,否则会报错,[Errno 10035]
                    data = sk.recv(8096)
                except socket.error as e:
                    data=None
                if not data:
                    break
                buffer.append(data)
            recv_data = ‘‘.join(buffer)
            # print recv_data
            response = HttpResponse(str(recv_data))
            import re
            func=None
            for router in routers:
                ret = re.match(router[0], response.url)
                if ret:
                    func = router[1]
                    break
            if func:
                result = func(response)
            else:
                result=404
            print result
            sk.sendall(result.encode(utf-8))
            inputs.remove(sk)
            sk.close()
            # print "接收到数据:%s" % recv_data
版本一:阻塞型

  上述代码运行时,若浏览器先访问‘/main’,再去访问‘/page’会阻塞,因为服务器在处理‘/main’的函数中,sleep出现阻塞,无法同时处理‘/page’请求。

 

  下面两个版本,通过引入Future类,设置其属性result,对于需要阻塞的请求返回future对象,若future的result值为None,则继续阻塞,但当其值不会None时取消阻塞。但在其阻塞期间,其他的请求都可以正常访问。

2. 版本二

技术分享图片
#!/usr/bin/python
#coding:utf-8
# 一个简单的异步IO服务端
import socket
import select
import time

class HttpRequest(object):

    def __init__(self,content):
        self.content = content
        self.body = None
        self.method=‘‘
        self.url=‘‘
        self.protocol=‘‘
        self.headers = {}
        self.initialize()
    def initialize(self):
        splits = self.content.split(

,1)
        if len(splits)==2:
            header, body=splits
            self.body = body
        elif len(splits)==1:
            header=splits[0]
        header_list = header.split(
)

        #print header_list  #[‘GET / HTTP/1.1‘, ‘Host: 127.0.0.1:8080‘, ‘User-Agent: Mozilla/5.0 (Windows NT 6.1; rv:63.0) Gecko/20100101 Firefox/63.0‘, ‘Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8‘, ‘Accept-Language: zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2‘, ‘Accept-Encoding: gzip, deflate‘, ‘Connection: keep-alive‘, ‘Upgrade-Insecure-Requests: 1‘]
        for item in header_list:
            temp = item.split(:)
            if len(temp)==1:
                self.method,self.url,self.protocol=temp[0].split( )
            elif len(temp)==2:
                self.headers[temp[0]] = temp[1]
class Future(object):

    def __init__(self,timeout=None):
        self.result=None
        self.timeout = timeout
        self.starttime = time.time()

    def set_result(self,result):
        self.result=result

    def delay_func(self,func,args):
        func(args)
        self.set_result(main)


delay_socket={}

def main(request):

    future=Future(10)

    return future

def page(request):
    return page

routers = [
    (r/main,main),
    (r/page,page),
]
def run():
    soc = socket.socket()
    soc.bind(("127.0.0.1",8080))
    soc.listen(5)
    soc.setblocking(0)
    inputs = [soc,]
#r中的每一个socket数据接收后一定记得移除和关闭,不然后面每次循环还会循环到该socket,拿到的都将是空数据
    while True:
        r,w,e = select.select(inputs,[],inputs,0.05)  #timeout时间得设置,会一直阻塞
        for sk in r:
            if sk==soc:  # 服务端收到客户端的连接
                ck,address = soc.accept()
                print "有连接来了:",address
                # msg = ‘连接上了。。。。‘
                # ck.send(msg)
                ck.setblocking(0)
                inputs.append(ck)    #将客户端socket加入监听队列
            else:  #  客户端发来数据
                buffer=[]
                while True:
                    try:  #必须捕捉异常,否则会报错,[Errno 10035]
                        data = sk.recv(8096)
                    except socket.error as e:
                        data=None
                    if not data:
                        break
                    buffer.append(data)
                recv_data = ‘‘.join(buffer)
                response = HttpRequest(str(recv_data))
                import re
                func=None
                for router in routers:
                    ret = re.match(router[0], response.url)
                    if ret:
                        func = router[1]
                        break
                if func:
                    result = func(response)
                else:   #其他url访问,如GET /favicon.ico HTTP/1.1(浏览器自动访问?)
                    result=404
                print result
                if isinstance(result, Future):
                    delay_socket[sk] = result
                else:
                    sk.sendall(result.encode(utf-8))
                    inputs.remove(sk)
                    sk.close()


        for sk in delay_socket.keys():
            future = delay_socket[sk]
            timeout = future.timeout
            start = future.starttime
            ctime = time.time()
            if (timeout+start)<=ctime:
                future.result=main
            if future.result:
                sk.sendall(future.result)
                inputs.remove(sk)
                sk.close()
                del delay_socket[sk]


if __name__ == __main__:
    run()
版本二 超时非阻塞

上述代码运行时,若浏览器先访问‘/main’,再去访问‘/page’不会阻塞,而时立即返回,‘/main’请求在十秒后超时返回

3. 版本三

技术分享图片
#!/usr/bin/python
#coding:utf-8
# 一个简单的异步IO服务端
import socket
import select
import time

class HttpRequest(object):

    def __init__(self,content):
        self.content = content
        self.body = None
        self.method=‘‘
        self.url=‘‘
        self.protocol=‘‘
        self.headers = {}
        self.initialize()
    def initialize(self):
        splits = self.content.split(

,1)
        if len(splits)==2:
            header, body=splits
            self.body = body
        elif len(splits)==1:
            header=splits[0]
        header_list = header.split(
)

        #print header_list  #[‘GET / HTTP/1.1‘, ‘Host: 127.0.0.1:8080‘, ‘User-Agent: Mozilla/5.0 (Windows NT 6.1; rv:63.0) Gecko/20100101 Firefox/63.0‘, ‘Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8‘, ‘Accept-Language: zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2‘, ‘Accept-Encoding: gzip, deflate‘, ‘Connection: keep-alive‘, ‘Upgrade-Insecure-Requests: 1‘]
        for item in header_list:
            temp = item.split(:)
            if len(temp)==1:
                self.method,self.url,self.protocol=temp[0].split( )
            elif len(temp)==2:
                self.headers[temp[0]] = temp[1]
class Future(object):

    def __init__(self,timeout=None):
        self.result=None
        self.timeout = timeout
        self.starttime = time.time()

    def set_result(self,result):
        self.result=result

    def delay_func(self,func,args):
        func(args)
        self.set_result(main)


delay_socket={}

future_list=[]
def index(request):
    future=Future()
    future_list.append(future)
    return future

def stopindex(request):
    f = future_list.pop()
    f.set_result(stop)
    return stopindex
    
routers = [
    (r/index,index),
    (r/stopindex,stopindex),
]
def run():
    soc = socket.socket()
    soc.bind(("127.0.0.1",8080))
    soc.listen(5)
    soc.setblocking(0)
    inputs = [soc,]
#r中的每一个socket数据接收后一定记得移除和关闭,不然后面每次循环还会循环到该socket,拿到的都将是空数据
    while True:
        r,w,e = select.select(inputs,[],inputs,0.05)  #timeout时间得设置,会一直阻塞
        for sk in r:
            if sk==soc:  # 服务端收到客户端的连接
                ck,address = soc.accept()
                print "有连接来了:",address
                # msg = ‘连接上了。。。。‘
                # ck.send(msg)
                ck.setblocking(0)
                inputs.append(ck)    #将客户端socket加入监听队列
            else:  #  客户端发来数据
                buffer=[]
                while True:
                    try:  #必须捕捉异常,否则会报错,[Errno 10035]
                        data = sk.recv(8096)
                    except socket.error as e:
                        data=None
                    if not data:
                        break
                    buffer.append(data)
                recv_data = ‘‘.join(buffer)
                response = HttpRequest(str(recv_data))
                import re
                func=None
                for router in routers:
                    ret = re.match(router[0], response.url)
                    if ret:
                        func = router[1]
                        break
                if func:
                    result = func(response)
                else:   #其他url访问,如GET /favicon.ico HTTP/1.1(浏览器自动访问?)
                    result=404
                print result
                if isinstance(result, Future):
                    delay_socket[sk] = result
                else:
                    sk.sendall(result.encode(utf-8))
                    inputs.remove(sk)
                    sk.close()


        for sk in delay_socket.keys():
            future = delay_socket[sk]
            if future.result:
                sk.sendall(future.result)
                inputs.remove(sk)
                sk.close()
                del delay_socket[sk]


if __name__ == __main__:
    run()
版本三

上述代码运行时,若浏览器先访问‘/index’,会阻塞,而再去访问‘/stopindex’,两个请求都会立即访问

    

参考博客:

  http://www.cnblogs.com/wupeiqi/p/6536518.html

  http://www.cnblogs.com/wupeiqi/articles/6229292.html

  https://www.cnblogs.com/aylin/p/5572104.html

 

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