Antoine Pitrou <pit...@free.fr> added the comment:

This is just issue6721 again.

The workaround is easy: just add 
`multiprocessing.set_start_method("forkserver")` at the start of your program.

Also, this is more or less documented, though quite tersely:
"""Note that safely forking a multithreaded process is problematic.""
https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods

----------
resolution:  -> duplicate
stage:  -> resolved
status: open -> closed
superseder:  -> Locks in the standard library should be sanitized on fork
versions: +Python 3.10, Python 3.11, Python 3.9

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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue41539>
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