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()

///

## Aguardar por mensagens e enviar mensagens

Em sua rota WebSocket você pode esperar (`await`) por mensagens e enviar mensagens.

{*../../docs_src/websockets/tutorial001.py hl[48:52]*}

Você pode receber e enviar dados binários, de texto e JSON.

## Tente você mesmo

      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()

                  startLatch.countDown();
                  startLatch.await();
                  callable.call();
                  doneLatch.countDown();
                  return null;
                }
              });
    }
    doneLatch.await();
  }

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

⏮️ ⏬ 🐍, 📤 **🔁 🔑 👨‍💼**. 👆 🔜 ⚙️ ⚫️ ⏮️ `async with`:

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

🕐❔ 👆 ✍ 🔑 👨‍💼 ⚖️ 🔁 🔑 👨‍💼 💖 🔛, ⚫️❔ ⚫️ 🔨 👈, ⏭ 🛬 `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏭ `yield`, & ⏮️ ❎ `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏮️ `yield`.

👆 📟 🖼 🔛, 👥 🚫 ⚙️ ⚫️ 🔗, ✋️ 👥 🚶‍♀️ ⚫️ FastAPI ⚫️ ⚙️ ⚫️.

        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)

      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

            })
        .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

	).Or(
		DB.Where("pizza = ?", "hawaiian").Where("size = ?", "xlarge"),
	).Find(&Pizza{}).Statement

	execStmt := dryRunDB.Exec("WHERE (pizza = ? AND (size = ? OR size = ?)) OR (pizza = ? AND size = ?)", "pepperoni", "small", "medium", "hawaiian", "xlarge").Statement

	result := DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)

    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():