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multiprocessing.pool.Pool.apply()

apply(func[, args[, kwds]])

Call func with arguments args and keyword arguments kwds. It blocks until the result is ready. Given this blocks, apply_async() is better suited for performing work in parallel. Additionally, func is only executed in one of the workers of the pool.

Links:

https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.pool.Pool.apply

doc_python

2025-01-10 15:47:30

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