`multiprocessing.Process.is_alive()` can incorrectly return True after `join()`
@gpshead ya está trabajando en esto.
Desde el 11/1/2026.
- Lenguaje dominante
- Python
- Estrellas
- 77.2k
- Forks
- 35.9k
- Métricas de merge de PR
- Métricas de PR pendientes
Descripción
Bug report
Bug description:
This came up in https://github.com/python/cpython/pull/130849#discussion_r1980137089
The problem is that popen_fork.Popen (and popen_spawn.Popen and popen_forkserver.Popen) are not thread-safe:
The first successful call to os.waitpid() may reap the pid so that subsequent calls raise an OSError. I've only seen this on macOS (not Linux). We may not yet however have set self.returncode -- that happens a few statements later, so poll() can return None if:
- The process has finished
- Another thread called poll(), but hasn't yet set
self.returncode
And then is_alive() can return True:
Note that some classes like concurrent.futures.ProcessPoolExecutor use threads internally, so the user may not even know that threads are involved.
Repro:
repro.py
import os
import multiprocessing as mp
import threading
import time
import sys
original_excepthook = threading.excepthook
def on_except(args):
original_excepthook(args)
os._exit(1)
threading.excepthook = on_except
def p1():
pass
def thread1(p):
while p.is_alive():
time.sleep(0.00001)
pass
def test():
for i in range(1000):
print(i)
p = mp.Process(target=p1)
p.start()
t = threading.Thread(target=thread1, args=(p,))
t.start()
p.join()
assert not p.is_alive()
t.join()
def main():
threads = [threading.Thread(target=test) for _ in range(10)]
for t in threads:
t.start()
for t in threads:
t.join()
if __name__ == "__main__":
main()
NOTE:
- This is unrelated to free threading
popen_fork.Popen(and subclasses) are distinct fromsubprocess.Popen
CPython versions tested on:
CPython main branch
Operating systems tested on:
macOS
Linked PRs
- gh-131440
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Evaluación
Este issue todavía no se ha evaluado.