def mp_test():
qu = multiprocessing.Manager().Queue()
startTime = timeit.default_timer()
with futurist.ProcessPoolExecutor(max_workers=8) as executors:
futures = [executors.submit(compute, qu) for _ in range(8)]
results = [f.result() for f in futures]
print('result : {}'.format(qu.get()))
resource_info(startTime)
def test_process_executor_creation(self):
with futurist.ProcessPoolExecutor(1) as e:
eng = self._create_engine(executor=e)
self.assertIsInstance(eng._task_executor,
process_executor.ParallelProcessTaskExecutor)
def _create_executor(self, max_workers=None):
return futurist.ProcessPoolExecutor(max_workers=max_workers)
executor = futurist.GreenThreadPoolExecutor()
except RuntimeError:
# No eventlet currently active, skip running with it...
pass
else:
print("-- Running in parallel using eventlet --")
with executor:
e = engines.load(song, executor=executor, engine='parallel')
e.run()
# Run in parallel using real threads...
with futurist.ThreadPoolExecutor(max_workers=1) as executor:
print("-- Running in parallel using threads --")
e = engines.load(song, executor=executor, engine='parallel')
e.run()
# Run in parallel using external processes...
with futurist.ProcessPoolExecutor(max_workers=1) as executor:
print("-- Running in parallel using processes --")
e = engines.load(song, executor=executor, engine='parallel')
e.run()
# Run serially (aka, if the workflow could have been ran in parallel, it will
# not be when ran in this mode)...
print("-- Running serially --")
e = engines.load(song, engine='serial')
e.run()
import time
import futurist
def delayed_func():
print('started')
time.sleep(3)
print('done')
# return "hello"
e = futurist.ProcessPoolExecutor()
fut = e.submit(delayed_func)
#print(fut.result())
print('Hello')
e.shutdown()