I understand that two functions can run in parallel using multiprocessing
or threading
modules, e.g. Make 2 functions run at the same time and Python multiprocessing for parallel processes.
But the above examples only use print function. Is it possible to run functions that return a list in parallel in python, if so, how?
I've tried with threading:
from threading import Thread
def func1(x):
return [i*i for i in x]
def func2(x):
return [i*i*i for i in x]
nums = [1,2,3,4,5]
p1 = Thread(target = func1(nums)).start()
p2 = Thread(target = func2(nums)).start()
print p1
print p2
but i got the follow error:
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python2.7/threading.py", line 808, in __bootstrap_inner
self.run()
File "/usr/lib/python2.7/threading.py", line 761, in run
self.__target(*self.__args, **self.__kwargs)
TypeError: 'list' object is not callable
None
None
Exception in thread Thread-2:
Traceback (most recent call last):
File "/usr/lib/python2.7/threading.py", line 808, in __bootstrap_inner
self.run()
File "/usr/lib/python2.7/threading.py", line 761, in run
self.__target(*self.__args, **self.__kwargs)
TypeError: 'list' object is not callable
I've tried inputing args
parameter as a tuple, instead of a variable:
import threading
from threading import Thread
def func1(x):
return [i*i for i in x]
def func2(x):
return [i*i*i for i in x]
nums = [1,2,3,4,5]
p1 = Thread(target = func1, args=(nums,)).start()
p2 = Thread(target = func2, args=(nums,)).start()
print p1, p2
but it only returns None None
, the desired output should be:
[out]:
[1, 4, 9, 16, 25] [1, 8, 27, 64, 125]
See Question&Answers more detail:
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