According to the docs of python's multiprocess the spawning of process needs to be inside of the if __name__ == '__main__':
clause to prevent spawning infinite processes.
My question, is it possible to use multiprocess inside of an import?
Something along those lines of this: let's say I have this py which is the main executed file:
import foo
def main():
foo.run_multiprocess()
if __name__ =='__main__':
main()
and the foo.py file which is imported:
def run_multiprocess(number_to_check):
if number_to_check == 5:
print(number_to_check)
if __name__ == '__main__':
list_to_check = {1,2,3,4,5,6,7}
pool = Pool(processes=4)
pool.map(process_image, list_to_check)
Obviusly this won't work because the code inside the if statment in foo.py won't run. Is there a way to make it work though?
Python multiprocessing Process classAt first, we need to write a function, that will be run by the process. Then, we need to instantiate a process object. If we create a process object, nothing will happen until we tell it to start processing via start() function. Then, the process will run and return its result.
No. Your code will run sequentially.
Concurrency and Parallelism in Python Example 2: Spawning Multiple Processes. The multiprocessing module is easier to drop in than the threading module, as we don't need to add a class like the Python threading example. The only changes we need to make are in the main function.
Multiprocessing doesn't have to run within the __main__
block, __main__
block is only used if the file is ran via python filename.py
.
So if you did:
m1.py
:
from multiprocessing import Pool
def f(x):
return x^2
def f2():
p = Pool(5)
p.map(f, [1,2,3,4,5])
m2.py
:
from m1 import f2
if __name__ == '__main__':
f2() # this would run multiprocessing code
and then call python m2.py
, your code would run correctly, with mp.
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