=================================== FAILURES ===================================
_______________________ test_one_thread_deadlock_timeout _______________________

    def test_one_thread_deadlock_timeout():
        class UsesCounter:
            # An actor whose method argument is another actor
    
            def do_inc(self, ac):
                # ac.increment() returns an EagerActorFuture and so the timeout
                # cannot expire
                return ac.increment().result(timeout=0.001)
    
>       with cluster(nworkers=1) as (cl, _):

distributed/tests/test_actor.py:655: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/share/miniconda3/envs/dask-distributed/lib/python3.10/contextlib.py:142: in __exit__
    next(self.gen)
distributed/utils_test.py:705: in cluster
    with check_process_leak(check=True), check_instances(), _reconfigure():
/usr/share/miniconda3/envs/dask-distributed/lib/python3.10/contextlib.py:142: in __exit__
    next(self.gen)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    @contextmanager
    def check_instances():
        Client._instances.clear()
        Worker._instances.clear()
        Scheduler._instances.clear()
        SpecCluster._instances.clear()
        Worker._initialized_clients.clear()
        # assert all(n.status == "closed" for n in Nanny._instances), {
        #     n: n.status for n in Nanny._instances
        # }
        Nanny._instances.clear()
        _global_clients.clear()
        Comm._instances.clear()
    
        yield
    
        start = time()
        while set(_global_clients):
            sleep(0.1)
            assert time() < start + 10
    
        _global_clients.clear()
    
        for w in Worker._instances:
            with suppress(RuntimeError):  # closed IOLoop
                w.loop.add_callback(w.close, executor_wait=False)
                if w.status in WORKER_ANY_RUNNING:
                    w.loop.add_callback(w.close)
        Worker._instances.clear()
    
        start = time()
        while any(c.status != "closed" for c in Worker._initialized_clients):
            sleep(0.1)
            assert time() < start + 10
        Worker._initialized_clients.clear()
    
        for i in range(5):
            if all(c.closed() for c in Comm._instances):
                break
            else:
                sleep(0.1)
        else:
            L = [c for c in Comm._instances if not c.closed()]
            Comm._instances.clear()
>           raise ValueError("Unclosed Comms", L)
E           ValueError: ('Unclosed Comms', [<TCP  local=tcp://127.0.0.1:39154 remote=tcp://127.0.0.1:33275>])

distributed/utils_test.py:1864: ValueError
----------------------------- Captured stderr call -----------------------------
2022-05-26 08:29:08,406 - distributed.http.proxy - INFO - To route to workers diagnostics web server please install jupyter-server-proxy: python -m pip install jupyter-server-proxy
2022-05-26 08:29:08,414 - distributed.scheduler - INFO - State start
2022-05-26 08:29:08,422 - distributed.scheduler - INFO - Clear task state
2022-05-26 08:29:08,422 - distributed.scheduler - INFO -   Scheduler at:     tcp://127.0.0.1:33275
2022-05-26 08:29:08,422 - distributed.scheduler - INFO -   dashboard at:            127.0.0.1:8787
2022-05-26 08:29:08,477 - distributed.worker - INFO -       Start worker at:      tcp://127.0.0.1:41889
2022-05-26 08:29:08,478 - distributed.worker - INFO -          Listening to:      tcp://127.0.0.1:41889
2022-05-26 08:29:08,478 - distributed.worker - INFO -          dashboard at:            127.0.0.1:42083
2022-05-26 08:29:08,478 - distributed.worker - INFO - Waiting to connect to:      tcp://127.0.0.1:33275
2022-05-26 08:29:08,478 - distributed.worker - INFO - -------------------------------------------------
2022-05-26 08:29:08,478 - distributed.worker - INFO -               Threads:                          1
2022-05-26 08:29:08,478 - distributed.worker - INFO -                Memory:                   6.78 GiB
2022-05-26 08:29:08,478 - distributed.worker - INFO -       Local Directory: /tmp/_dask_test_workerkwumbx6j/dask-worker-space/worker-3gkcfow7
2022-05-26 08:29:08,478 - distributed.worker - INFO - -------------------------------------------------
2022-05-26 08:29:08,884 - distributed.scheduler - INFO - Register worker <WorkerState 'tcp://127.0.0.1:41889', status: init, memory: 0, processing: 0>
2022-05-26 08:29:09,238 - distributed.scheduler - INFO - Starting worker compute stream, tcp://127.0.0.1:41889
2022-05-26 08:29:09,238 - distributed.core - INFO - Starting established connection
2022-05-26 08:29:09,238 - distributed.worker - INFO -         Registered to:      tcp://127.0.0.1:33275
2022-05-26 08:29:09,239 - distributed.worker - INFO - -------------------------------------------------
2022-05-26 08:29:09,240 - distributed.core - INFO - Starting established connection
2022-05-26 08:29:09,252 - distributed.scheduler - INFO - Receive client connection: Client-e9e9ce4f-dccd-11ec-8a5d-000d3a1d4f00
2022-05-26 08:29:09,253 - distributed.core - INFO - Starting established connection
2022-05-26 08:29:09,315 - distributed.scheduler - INFO - Scheduler closing...
2022-05-26 08:29:09,315 - distributed.scheduler - INFO - Scheduler closing all comms
2022-05-26 08:29:09,316 - distributed.scheduler - INFO - Remove worker <WorkerState 'tcp://127.0.0.1:41889', status: running, memory: 2, processing: 0>
2022-05-26 08:29:09,317 - distributed.core - INFO - Removing comms to tcp://127.0.0.1:41889
2022-05-26 08:29:09,317 - distributed.scheduler - INFO - Lost all workers
2022-05-26 08:29:09,318 - distributed.batched - INFO - Batched Comm Closed <TCP (closed) Scheduler->Client local=tcp://127.0.0.1:33275 remote=tcp://127.0.0.1:39146>
Traceback (most recent call last):
  File "/home/runner/work/distributed/distributed/distributed/batched.py", line 94, in _background_send
    nbytes = yield self.comm.write(
  File "/usr/share/miniconda3/envs/dask-distributed/lib/python3.10/site-packages/tornado/gen.py", line 762, in run
    value = future.result()
  File "/home/runner/work/distributed/distributed/distributed/comm/tcp.py", line 269, in write
    raise CommClosedError()
distributed.comm.core.CommClosedError
2022-05-26 08:29:09,436 - distributed.client - ERROR - 
Traceback (most recent call last):
  File "/home/runner/work/distributed/distributed/distributed/utils.py", line 761, in wrapper
    return await func(*args, **kwargs)
  File "/home/runner/work/distributed/distributed/distributed/client.py", line 1225, in _reconnect
    await self._ensure_connected(timeout=timeout)
  File "/home/runner/work/distributed/distributed/distributed/client.py", line 1255, in _ensure_connected
    comm = await connect(
  File "/home/runner/work/distributed/distributed/distributed/comm/core.py", line 326, in connect
    handshake = await asyncio.wait_for(comm.read(), time_left())
  File "/usr/share/miniconda3/envs/dask-distributed/lib/python3.10/asyncio/tasks.py", line 432, in wait_for
    await waiter
asyncio.exceptions.CancelledError
------------------------------ Captured log call -------------------------------
ERROR    asyncio.events:utils.py:787 
Traceback (most recent call last):
  File "/home/runner/work/distributed/distributed/distributed/utils.py", line 761, in wrapper
    return await func(*args, **kwargs)
  File "/home/runner/work/distributed/distributed/distributed/client.py", line 1414, in _handle_report
    await self._reconnect()
  File "/home/runner/work/distributed/distributed/distributed/utils.py", line 761, in wrapper
    return await func(*args, **kwargs)
  File "/home/runner/work/distributed/distributed/distributed/client.py", line 1225, in _reconnect
    await self._ensure_connected(timeout=timeout)
  File "/home/runner/work/distributed/distributed/distributed/client.py", line 1255, in _ensure_connected
    comm = await connect(
  File "/home/runner/work/distributed/distributed/distributed/comm/core.py", line 326, in connect
    handshake = await asyncio.wait_for(comm.read(), time_left())
  File "/usr/share/miniconda3/envs/dask-distributed/lib/python3.10/asyncio/tasks.py", line 432, in wait_for
    await waiter
asyncio.exceptions.CancelledError