distributed hangs on Windows with Python 3.13

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Describe the issue:

Minimal Complete Verifiable Example:

from dask.distributed import Client, Worker, Scheduler, wait
import pyperf

def inc(x):
    return x + 1

async def benchmark():
    async with Scheduler() as scheduler:
        async with Worker(scheduler.address):
            async with Client(scheduler.address, asynchronous=True) as client:
                futures = client.map(inc, range(100))
                for _ in range(10):
                    futures = client.map(inc, futures)
                await wait(futures)

if __name__ == "__main__":
    runner = pyperf.Runner()
    runner.metadata['description'] = "Benchmark dask"
    runner.bench_async_func('dask', benchmark)

Anything else we need to know?:

Environment:

• Dask version: 2024.5.0
• Python version: 3.13 (main branch, future 3.13 beta 1)
• Operating System: Windows 11
• Install method (conda, pip, source): pip

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I proposed the pull request #8642 to fix the issue.