Category : python-multiprocessing

We’ve noticed a bunch of defunct (zombie) processes being leftover in one of our deployments and managed to produce a very minimal program showing the issue: multi.py: from multiprocessing import Pool, set_start_method def f(x): return x*x if __name__ == ‘__main__’: set_start_method(‘spawn’) with Pool(5) as p: print(p.map(f, [1, 2, 3])) p.close() p.join() This program seems to ..

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I am trying to crawl abstracts from PubMed and filtering them using regex via python. To speed things up, I wanted to use pythons multiprocessing pool. My code looks like the following: import multiprocessing as mp from functools import partial from typing import List, Tuple def beautify_abstract(abstract: str, regex: str): import re result: str = ..

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I am trying to crawl abstracts from PubMed and filtering them using regex via python. To speed things up, I wanted to use pythons multiprocessing pool. My code looks like the following: import multiprocessing as mp from functools import partial from typing import List, Tuple def beautify_abstract(abstract: str, regex: str): import re result: str = ..

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I have a few processes that are meant to run in a while loop. I basically have some processes calculating some values by using do_performance, and subsequentially I want them to be manipulated by some rule (as in mc_scheduler method) until the calculated value satisfies the pre-defined criteria in while loop. Below is my code ..

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I’m trying to use a multiprocessing.Queue to communicate something when an object in another process which has this queue as an attribute is deleted. While doing so I noticed that Queue.put() with block=False (or equivalently Queue.put_nowait()) blocks anyway under certain circumstances and boiled it down to the following minimal reproducible example: import multiprocessing as mp ..

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