process-pool Questions

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I am trying to capture all output from a ProcessPoolExecutor. Imagine you have a file func.py: print("imported") # I do not want this print in subprocesses def f(x): return x then you ...
Electromagnetism asked 6/7, 2022 at 12:42

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I was using this answer in order to run parallel commands with multiprocessing in Python on a Linux box. My code did something like: import multiprocessing import logging def cycle(offset): # ...
Coupling asked 14/8, 2017 at 0:17

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I am doing some parallel processing, as follows: with mp.Pool(8) as tmpPool: results = tmpPool.starmap(my_function, inputs) where inputs look like: [(1,0.2312),(5,0.52) ...] i.e., tuples of an...

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Context: A Python application server that uses a concurrent.futures.process.ProcessPool to execute code We sometimes want to hot reload imported code without restarting the entire server process ...

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So, I know the difference between the two methods in the title, but not the practical implications. From what I understand: If you use more NUM_WORKERS than are cores actually available, you face b...

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I have a method inside a class that needs to do a lot of work in a loop, and I would like to spread the work over all of my cores. I wrote the following code, which works if I use normal map(), but...

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if __name__ == '__main__': MATCH_ID = str(doc_ref2.id) MATCH_ID_TEAM = doc_ref3.id with concurrent.futures.ProcessPoolExecutor(max_workers=30) as executor: results = list(executor.map(ESPNla...

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1. Why does the following Python code using the concurrent.futures module hang forever? import concurrent.futures class A: def f(self): print("called") class B(A): def f(self): ...
Handicap asked 15/6, 2019 at 11:16

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I want to monitor progress across multiple workers which are different processes. For each subprocess I have its own progress bar but it doest work properly with ProcessPoolExecutor executor. def ...

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Similar Question (but answer does not work for me): How to cancel long-running subprocesses running using concurrent.futures.ProcessPoolExecutor? Unlike the question linked above and the soluti...

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What's the proper way of aborting multiprocessing when one of the child aborts and/or throw an Exception? I found various questions around that (generic multiprocessing error handling, how to clos...

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This code runs fine under regular CPython 3.5: import concurrent.futures def job(text): print(text) with concurrent.futures.ProcessPoolExecutor(1) as pool: pool.submit(job, "hello") But if y...
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