报错信息：
Traceback (most recent call last):File “D:/flaskProject/test.py”, line 35, in testpool.apply(self.out, args=(i,))File “Python37-32libmultiprocessingpool.py', line 261, in applyreturn self.apply_async(func, args, kwds).get()File 'libmultiprocessingpool.py”, line 657, in getraise self._valueFile “Python37-32libmultiprocessingpool.py', line 431, in _handle_tasksput(task)File 'Python37-32libmultiprocessingconnection.py”, line 206, in sendself._send_bytes(_ForkingPickler.dumps(obj))File “*Python37-32libmultiprocessingreduction.py”, line 51, in dumpscls(buf, protocol).dump(obj)TypeError: can’t pickle _thread._local objects
原类的构造函数：
class threadtest:def __init__(self, ipList, user, password): self.ipList = ipList self.httpAuth = HTTPDigestAuth(user, password) returndef out(self, i): url = 'http://' + i + '/name' response = requests.get(url, self.httpAuth) print(response.text) returndef test(self): pool = Pool(processes=2) for i in self.ipList: pool.apply(self.out, args=(i,)) pool.close() pool.join() return
if name == ‘main’:ipList = [‘192.168.2.1’, ‘192.168.2.2’, ‘192.168.2.3’, ‘192.168.2.4’, ‘192.168.2.5’, ]a = threadtest(ipList, ‘admin’, ‘admin’)a.test()
原因：
在class中对属性进行初始化使用了其它类返回的句柄进行初始化导致，HTTPDigestAuth的返回值不能进行序列化，也就是不能作为cls(buf, protocol).dump(obj)的参数进行序列化。
将self.httpAuth = HTTPDigestAuth(httpUser, httpPassword)修改为：
self.httpUserself.httpPassword
并将函数HTTPDigestAuth放到类的方法中
修改后：
class threadtest:def __init__(self, ipList, user, password): self.ipList = ipList self.user = user self.password = password returndef out(self, i): url = 'http://' + i + '/name' response = requests.get(url, HTTPDigestAuth(self.user, self.password)) print(response.text) returndef test(self): pool = Pool(processes=2) for i in self.ipList: pool.apply(self.out, args=(i,)) pool.close() pool.join() return
if name == ‘main’:ipList = [‘192.168.2.1’, ‘192.168.2.2’, ‘192.168.2.3’, ‘192.168.2.4’, ‘192.168.2.5’, ]a = threadtest(ipList, ‘admin’, ‘admin’)a.test()
以上这篇解决python多线程报错:AttributeError: Can’t pickle local object问题就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持乐呵呵网。
