在多层函数调用中,ThreadLocal可以避免频繁传递局部变量。 importthreading# 创建 ThreadLocal 对象local_data=threading.local()defprocess_student():student=local_data.studentprint(f"学生姓名:{student.name}")defprocess_tax1():student=local_data.studentprint(f"Tax1 处理学生:{student.name}")defprocess_tax...
Thread-Local data 用于存放“线程区分”的数据。要想使用它,只须创建一个 local 类实例(或子类)然后在它的属性里存储数据。不同线程访问该实例的属性值,是不同的。 1 2 3 4 >>> mydata=threading.local() >>> mydata.x=1 >>>type(mydata) <class'_thread._local'> 2. Thread Objects Thread 类用...
local_data.name='local_data'classTestThread(Thread):defrun(self):printcurrentThread()printlocal_data.__dict__local_data.name=self.getName() local_data.add_by_sub_thread=self.getName()printlocal_data.__dict__if__name__=='__main__':printcurrentThread()printlocal_data.__dict__t1=TestTh...
current_thread().name) print("Worker:", local_data.value) # 创建并启动两个线程 t1 = threading.Thread(target=worker) t2 = threading.Thread(target=worker) t1.start() t2.start() t1.join() t2.join() 在上面的例子中,我们创建了一个 ThreadLocal 对象 local_data。然后,在两个不同的线程中...
import the `local` class from`threading`.)Thread-local objects support the management of thread-local data.If you have data that you want to be local to a thread, simply createa thread-local object and use its attributes:>>> mydata = local()>>> mydata.number = 42>>> mydata.number...
data =local() key= object.__getattribute__(data,'_local__key') print current_thread().__dict__.get(key) # AttributeError:'thread._local'object hasnoattribute'_local__key' 当然,你可能不理解这里是什么意思,没关系,我只是想强调在 threading.local 没有用到_threading_local.py,你必须要创建一...
data = local() key = object.__getattribute__(data, '_local__key') print current_thread().__dict__.get(key) # AttributeError: 'thread._local' object has no attribute '_local__key' 当然,你可能不理解这里是什么意思,没关系,我只是想强调在 threading.local 没有用到_threading_local.py,你...
Thread-Local Data Thread-local数据的值是特定于线程的。管理Thread-local数据,只需要创建local或其子类的实例并在该实例上存储属性: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 mydata=threading.local()mydata.x=1 不同的线程,实例的值也会不同。
importthreading# 创建线程本地数据local_data=threading.local()# 线程函数defthread_func():local_data.var=1# 创建线程t1=threading.Thread(target=thread_func)t2=threading.Thread(target=thread_func)# 启动线程t1.start()t2.start()# 等待线程结束t1.join()t2.join()print(local_data.var)# 输出1 ...
faster one available. You should always import the `local` class from `threading`.) Thread-local objects support the management of thread-local data. If you have data that you want to be local to a thread, simply create a thread-local object and use its attributes: ...