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multiprocessing.Queue methods have asymmetric behavior #142837

@x42005e1f

Description

@x42005e1f

Bug report

Bug description:

Currently, the qsize() and full() methods rely on the semaphore value (they change their result immediately after the put operation is performed). However, the empty() method relies on the underlying pipe's readiness, which violates user expectations (since similar queue.Queue methods have symmetric behavior) and leads to the following:

#!/usr/bin/env python3

import sys
import time

from multiprocessing import Process, Queue, set_start_method

CONSUMERS = 100  # any sufficiently large number
ITEMS = CONSUMERS * 100  # should result in exceeding the underlying pipe
DELAY = 1  # "infinitesimal", but it can actually be as large as you like


def consume(queue):
    for _ in range(ITEMS // CONSUMERS):
        if queue.empty():  # it should never be printed, but it will be
            print("EMPTY!")

        queue.get()


def main():
    queue = Queue()

    for i in range(ITEMS):
        queue.put(i)

    time.sleep(DELAY)
    assert queue.qsize() == ITEMS

    consumers = [
        Process(target=consume, args=[queue], daemon=True)
        for _ in range(CONSUMERS)
    ]

    for consumer in consumers:
        consumer.start()

    for consumer in consumers:
        consumer.join()


if __name__ == "__main__":
    set_start_method("fork")
    sys.exit(main())

The problem was initially noticed in one Stack Overflow question, when the queue was considered empty despite having a sufficiently large number of items. I have only cited one case, but in fact the problem will always occur when buffer flushing is too slow (especially if any complex objects are serialized).

I decided to mark this as a bug, as this behavior can be fixed as a result of solving #87302. Otherwise, I think clarifying this point in the documentation may also be sufficient.

Related (implicitly used in the above code to reproduce): #128186.

CPython versions tested on:

3.9, 3.10, 3.11, 3.12, 3.13, 3.14

Operating systems tested on:

Linux

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    stdlibStandard Library Python modules in the Lib/ directorytopic-multiprocessingtype-bugAn unexpected behavior, bug, or error

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