# 需要导入模块: from PyQt4.QtCore import QThread [as 别名]# 或者: from PyQt4.QtCore.QThread importcurrentThread[as 别名]defjoin(self, processEvents=True):""" Wait until the execution finishes. """whileself.poll()isNone: QThread.currentThread().msleep(50)ifprocessEventsandQThread.currentTh...
} }""").build()# Compile the device programgpu_start_time = time()# Get the GPU start timeevent = program.sum(queue, a.shape,None, a_buffer, b_buffer, c_buffer)# Enqueue the GPU sum program XXXevent.wait()# Wait until the event finishes XXXelapsed =1e-9*(event.profile.end -...
Rather than having all of your code wait until thetime.sleep()function finishes, you can execute the delayed or scheduled code in a separate thread using Python’sthreadingmodule. The separate thread will pause for thetime.sleepcalls. Meanwhile, your program can do other work in the original ...
Rather than having all of your code wait until the time.sleep() function finishes, you can execute the delayed or scheduled code in a separate thread using Python’s threading module. The separate thread will pause for the time.sleep calls. Meanwhile, your program can do other work in the...
In Synchronous Programming - if aFunction AcallsFunction B, it stops execution untilFunction Bfinishes execution, after whichFunction Acan resume. In Asynchronous Programming - if aFunction AcallsFunction B, regardless of its dependence of the result fromFunction B, both can execute at the same tim...
If you wanted to apply the second approach to the countdown example code, then you could define a new function usingprint()as a partial and call itunbuffered_print(). Then you could use it instead of the built-inprint()where you want unbuffered output: ...
asyncio.wait([task1,task2])# 等待futures或coroutines完成,返回一个 coroutineloop.run_until_complete(obj)# 运行一个 Future,并返回它的结果 示例: importasyncioasyncdeftest():# async开头,来定义协程函数print('1')awaitasyncio.sleep(2)# 模拟IO操作,await可等待的有:协程对象,Future,Taskprint('3')...
When id was called, Python created a WTF class object and passed it to the id function. The id function takes its id (its memory location), and throws away the object. The object is destroyed. When we do this twice in succession, Python allocates the same memory location to this ...
If you have the patience to wait until the script finishes, then you can see it works in single-threaded mode due to the GIL. As if this weren’t enough proof, the message on the screen confirms that you’re indeed running pure Python code. Now it’s time to compile your extension ...
defjoin(self, timeout=None):"""Wait until the greenlet finishes or *timeout* expires. Return ``None`` regardless."""ifself.ready():returnswitch=getcurrent().switch self.rawlink(switch)try: t=Timeout._start_new_or_dummy(timeout)try: ...