Antoine Pitrou <[email protected]> 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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<https://bugs.python.org/issue41539>
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