23 Dec 2016 The concurrent.futures module is available after you `pip install futures`. [pool. submit(requests.get,url) for url in urls]; results = [r.result() for r in See: https://docs.python.org/dev/library/concurrent.futures.html and Return the result of the call that the future represents. Args: timeout: The number of method to send a message will return a Future . To wait for and retrieve the actual result the simplest method is: Scala: import scala.concurrent from concurrent.futures import _base return. try: result = self.fn(*self.args, **self. kwargs). except BaseException: work_item = work_queue.get(block=True).
results = [r.result() for r in as_completed(futures)] return results. Using ThreadPool it is also not different: # Using Thread Pool from concurrent.futures import
If wait is True then this method will not return until all the pending futures are print(b.result()) # b will never complete because it is waiting on a. return 5 def Return the result of the Future. If the Future is done and has a result set by the set_result() method, the result value is returned. If the Future is done and has an 29 Mar 2016 We can get the result of the future by calling the result() method on it. A good understanding of the Future object and knowing it's methods 18 Mar 2018 The concurrent.futures modules provides interfaces for running tasks using pools When the result of the task is needed, an application can use the Future to threading.current_thread().name, n) ) return n / 10 ex = futures. 22 Apr 2017 and then wait on our results results = async_result.get() import concurrent. futures # Get a list containing all groups of a user def get_groups(username): # Do
TimeoutError if __next__() is called and the result isn't available after timeout If wait is True then this method will not return until all the pending futures are
Return the result of the Future. If the Future is done and has a result set by the set_result() method, the result value is returned. If the Future is done and has an 29 Mar 2016 We can get the result of the future by calling the result() method on it. A good understanding of the Future object and knowing it's methods 18 Mar 2018 The concurrent.futures modules provides interfaces for running tasks using pools When the result of the task is needed, an application can use the Future to threading.current_thread().name, n) ) return n / 10 ex = futures.
Return a future aggregating results from the given coroutine objects or futures. All futures must share the same event loop. If all the tasks are done successfully, the returned future’s result is the list of results (in the order of the original sequence, not necessarily the order of results arrival).
The following are code examples for showing how to use concurrent.futures.ThreadPoolExecutor().They are from open source Python projects. You can vote up the examples you like or vote down the ones you don't like. Futures¶. Dask supports a real-time task framework that extends Python’s concurrent.futures interface. This interface is good for arbitrary task scheduling like dask.delayed, but is immediate rather than lazy, which provides some more flexibility in situations where the computations may evolve over time. These features depend on the second generation task scheduler found in dask.distributed Return a future aggregating results from the given coroutine objects or futures. All futures must share the same event loop. If all the tasks are done successfully, the returned future’s result is the list of results (in the order of the original sequence, not necessarily the order of results arrival).
method to send a message will return a Future . To wait for and retrieve the actual result the simplest method is: Scala: import scala.concurrent
The as_completed() function takes an iterable of Future objects and starts yielding values as soon as the futures start resolving. The main difference between the aforementioned map method with as_completed is that map returns the results in the order in which we pass the iterables. The result of calling result on our returned future is another future that actually. If we call the result method on this nested future, we get a zip object back, so to find out what the actual result is, we wrap the zip with Python’s list function and print it out. Wrapping Up. Now you have another neat concurrency tool to use. Return a set of all tasks for an event loop. By default all tasks for the current event loop are returned. If loop is None, the get_event_loop() function is used to get the current loop. This method is deprecated and will be removed in Python 3.9. Use the asyncio.all_tasks() function instead.