coroutine

How can I make a coroutine stop with timeout? I don't understand why asyncio.wait_for() doesn't work for me. I have such piece of code (planning to make my implementation of telnet client): def expect(self, pattern, timeout=20): if type(pattern) == str: pattern = pattern.encode('ascii', 'ignore') return self.loop.run_until_complete(asyncio.wait_for(self.asyncxpect(pattern), timeout)) async def asyncxpect(self, pattern): #receives data in a cumulative way until match is found regexp = re.compile(b'(?P<payload>[\s\S]*)(?P<pattern>%s)' %pattern) self.buffer = b'' while True: # add timeout # add

I'm trying to port yield and yield from from Python to Scheme. Here is an implementation I've done: (define (coroutine routine) (let ((current routine) (status 'new)) (lambda* (#:optional value) (let ((continuation-and-value (call/cc (lambda (return) (let ((returner (lambda (value) (call/cc (lambda (next) (return (cons next value))))))) (if (equal? status 'new) (begin (set! status 'running) (current returner)) (current (cons value returner))) (set! status 'dead)))))) (if (pair? continuation-and-value) (begin (set! current (car continuation-and-value)) (cdr continuation-and-value)) continuation

I am using asyncio for a network framework. In below code( low_level is our low level function, main block is our program entry, user_func is user-defined function): import asyncio loop = asyncio.get_event_loop() """:type :asyncio.AbstractEventLoop""" def low_level(): yield from asyncio.sleep(2) def user_func(): yield from low_level() if __name__ == '__main__': co = user_func() loop.run_until_complete(co) I want wrap the low_level as normal function rather than coroutine (for compatibility etc.), but low_level is in event loop. How can wrap it as a normal function? Because low_level is a

Can Kotlin coroutines be used in production, and what does their experimental status mean? UPDATE : Kotlin coroutines are no longer experimental as of Kotlin 1.3. Kotlin coroutines can and should be used in production. That was the chief reason to officially release them in Kotlin 1.1. Having released them, the JetBrains team had committed to maintain backwards compatibility with respect to any changes that are introduced to them in the minor releases as they evolve, while allowing people to safely try them in complex production applications. In short, the difference between “experimental” and

Background: I'm asking this because I currently have an application with many (hundreds to thousands) of threads. Most of those threads are idle a great portion of the time, waiting on work items to be placed in a queue. When a work item comes available, it is then processed by calling some arbitrarily-complex existing code. On some operating system configurations, the application bumps up against kernel parameters governing the maximum number of user processes, so I'd like to experiment with means to reduce the number of worker threads. My proposed solution: It seems like a coroutine-based