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[Python-Dev] [PEP 3148] futures - execute computationsasynchronously
Brian Quinlanbrian at sweetapp.com
Fri Mar 5 07:03:02 CET 2010
Hi all,I recently submitted a daft PEP for a package designed to make it easier to execute Python functions asynchronously using threads and processes. It lets the user focus on their computational problem without having to build explicit thread/process pools and work queues.The package has been discussed on stdlib-sig but now I'd like this group's feedback.The PEP lives here:http://python.org/dev/peps/pep-3148/Here are two examples to whet your appetites:"""Determine if several numbers are prime."""import futuresimport mathPRIMES = [ 112272535095293, 112582705942171, 112272535095293, 115280095190773, 115797848077099, 1099726899285419]def is_prime(n): if n % 2 == 0: return False sqrt_n = int(math.floor(math.sqrt(n))) for i in range(3, sqrt_n + 1, 2): if n % i == 0: return False return True# Uses as many CPUs as your machine has.with futures.ProcessPoolExecutor() as executor: for number, is_prime in zip(PRIMES, executor.map(is_prime, PRIMES)): print('%d is prime: %s' % (number, is_prime))"""Print out the size of the home pages of various new sites (and Fox News)."""import futuresimport urllib.requestURLS = ['http://www.foxnews.com/', 'http://www.cnn.com/', 'http://europe.wsj.com/', 'http://www.bbc.co.uk/', 'http://some-made-up-domain.com/']def load_url(url, timeout): return urllib.request.urlopen(url, timeout=timeout).read()with futures.ThreadPoolExecutor(max_workers=5) as executor: # Create a future for each URL load. future_to_url = dict((executor.submit(load_url, url, 60), url) for url in URLS) # Iterate over the futures in the order that they complete. for future in futures.as_completed(future_to_url): url = future_to_url[future] if future.exception() is not None: print('%r generated an exception: %s' % (url, future.exception())) else: print('%r page is %d bytes' % (url, len(future.result())))Cheers,Brian
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