queue.enqueue(incrementingEvent(counters, listener, 4));
      queue.enqueue(countDownEvent(latch));
      assertEquals(0, counters.size());
      queue.dispatch();
      latch.await();
      assertEquals(multiset(listener, 4), counters);
    } finally {
      service.shutdown();
    }
  }

  public void testEnqueueAndDispatch_multithreaded_withThrowingRunnable()

      queue.enqueue(incrementingEvent(counters, listener, 4));
      queue.enqueue(countDownEvent(latch));
      assertEquals(0, counters.size());
      queue.dispatch();
      latch.await();
      assertEquals(multiset(listener, 4), counters);
    } finally {
      service.shutdown();
    }
  }

  public void testEnqueueAndDispatch_multithreaded_withThrowingRunnable()

from .main import app


@pytest.mark.anyio
async def test_root():
    async with AsyncClient(
        transport=ASGITransport(app=app), base_url="http://test"
    ) as ac:
        response = await ac.get("/")
    assert response.status_code == 200

            AtomicInteger completedOps = new AtomicInteger(0);

            for (int t = 0; t < threadCount; t++) {
                executor.submit(() -> {
                    try {
                        startLatch.await(); // All threads start simultaneously
                        for (int i = 0; i < operationsPerThread; i++) {
                            byte[] localData = new byte[128];

    legacy_request_state_context_var.reset(contextvar_token)


@app.middleware("http")
async def custom_middleware(
    request: Request, call_next: Callable[[Request], Awaitable[Response]]
):
    response = await call_next(request)
    response.headers["custom"] = "foo"
    return response


@app.get("/user", dependencies=[Depends(set_up_request_state_dependency)])
def get_user():

                // start all threads at once
                try {
                    startLatch.await();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                // wait for all thread to end
                try {
                    endLatch.await();
                } catch (InterruptedException e) {
                    e.printStackTrace();

```Python
with open("file.txt") as file:
    file.read()
```

En versiones recientes de Python, también hay un **async context manager**. Lo usarías con `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

            })
        .start();

    // wait for the computingEntry to be created
    computationStarted.await();
    cache.invalidateAll();
    // let the computation proceed
    computingLatch.countDown();
    // don't check cache.size() until we know the get("b") call is complete
    computationComplete.await();

    // At this point, the listener should be holding the seed value (a -> a), and the map should

        // When - Multiple threads get and release buffers
        for (int t = 0; t < threadCount; t++) {
            executor.submit(() -> {
                try {
                    startLatch.await();

                    for (int i = 0; i < opsPerThread; i++) {
                        // Get buffer
                        byte[] buffer = BufferCache.getBuffer();

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[9:12] *}

Это эквивалентно следующему:

```Python
response = client.get('/')
```

...которое мы использовали для отправки наших запросов с `TestClient`.

/// tip | Подсказка

Обратите внимание, что мы используем async/await с `AsyncClient` - запрос асинхронный.

///