coroutine

All coroutine implementations I've encountered use assembly or inspect the contents of jmp_buf . The problem with this is it inherently not cross platform. I think the following implementation doesn't go off into undefined behavior or rely on implementation details. But I've never encountered a coroutine written like this. Is there some inherent flaw is using long jump with threads? Is there some hidden gotcha in this code? #include <setjmp.h> #include <thread> class Coroutine { public: Coroutine( void ) : m_done( false ), m_thread( [&](){ this->start(); } ) { } ~Coroutine( void ) { std::lock

When a generator is not used any more, it should be garbage collected, right? I tried the following code but I am not sure which part I was wrong. import weakref import gc def countdown(n): while n: yield n n-=1 cd = countdown(10) cdw = weakref.ref(cd)() print cd.next() gc.collect() print cd.next() gc.collect() print cdw.next() On the second last line, I called garbage collector and since there is no call to cd any more. gc should free cd right. But when I call cdw.next() , it is still printing 8. I tried a few more cdw.next() , it could successfully print all the rest until StopIteration. I

from tornado import web, gen import tornado, time class CoroutineFactorialHandler(web.RequestHandler): @web.asynchronous @gen.coroutine def get(self, n, *args, **kwargs): n = int(n) def callbacker(iterator, callback): try: value = next(iterator) except StopIteration: value = StopIteration callback(value) def factorial(n): x = 1 for i in range(1, n+1): x *= i yield yield x iterator = factorial(n) t = time.time() self.set_header("Content-Type", "text/plain") while True: response = yield gen.Task(callbacker, iterator) #log.debug("response: %r" %response) if response is StopIteration: break elif

I need to start a huge amount of goroutines and wait for their termination. The intuitive way seems to use a channel to wait till all of them are finished : package main type Object struct { //data } func (obj *Object) Update(channel chan int) { //update data channel <- 1 return } func main() { channel := make(chan int, n) list := make([]Object, n, m) for { for _, object := range list { go object.Update(channel) } for i := 0; i < n; i++ { <-channel } //now everything has been updated. start again } } But the problem is that the amount of objects and therefore the amount of goroutines could

众所周知，在 Swoole 应用中，是不推荐使用 Curl 的，因为 Curl 会阻塞进程。 本文会用实际的代码和数据，用最直观的方式，让你明白为什么。 最后还会给出 Curl 在 Swoole 中的解决方案，如果不想看分析可以直接拉到最后。 例程对比 宇润看文章不喜欢那些虚的，所以自己写也比较实在，直接来跑一下代码，用数据看为什么不推荐在 Swoole 使用 Curl。 为了偷懒，我直接用了 YurunHttp 的 Curl 和 Swoole Handler，来替代那些又臭又长的 Curl 代码。 代码 composer.json { "require": { "yurunsoft/yurun-http": "~3.0" } } server.php <?php $http = new Swoole\Http\Server('127.0.0.1', 9501); $http->on('workerstart', function(){ \Swoole\Runtime::enableCoroutine(); }); $http->on('request', function ($request, $response) { sleep(1); // 假设各种处理耗时1秒 $response->end($request->get['id'] . ': ' . date('Y-m-d H