// TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback

///

### Funções de operação de rota { #path-operation-functions }

Quando você declara uma *função de operação de rota* com `def` normal ao invés de `async def`, ela é rodada em uma threadpool externa que é então aguardada, ao invés de ser chamada diretamente (já que ela bloquearia o servidor).

///

### Path operation functions { #path-operation-functions }

When you declare a *path operation function* with normal `def` instead of `async def`, it is run in an external threadpool that is then awaited, instead of being called directly (as it would block the server).

///

### Fonctions de chemin

Quand vous déclarez une *fonction de chemin* avec un `def` normal et non `async def`, elle est exécutée dans un groupe de threads (threadpool) externe qui est ensuite attendu, plutôt que d'être appelée directement (car cela bloquerait le serveur).

///

### Pfadoperation-Funktionen { #path-operation-functions }

Wenn Sie eine *Pfadoperation-Funktion* mit normalem `def` anstelle von `async def` deklarieren, wird sie in einem externen Threadpool ausgeführt, der dann `await`et wird, anstatt direkt aufgerufen zu werden (da dies den Server blockieren würde).

```Python
contents = myfile.file.read()
```

/// note | `async` Technical Details

When you use the `async` methods, **FastAPI** runs the file methods in a threadpool and awaits for them.

///

/// note | Starlette Technical Details

```Python
contents = myfile.file.read()
```

/// note | Detalhes Técnicos do `async`

Quando você usa os métodos `async`, o **FastAPI** executa os métodos de arquivo em um threadpool e aguarda por eles.

///

/// note | Detalhes Técnicos do Starlette

```Python
contents = myfile.file.read()
```

/// note | Detalles Técnicos de `async`

Cuando usas los métodos `async`, **FastAPI** ejecuta los métodos del archivo en un threadpool y los espera.

///

/// note | Detalles Técnicos de Starlette

```Python
contents = myfile.file.read()
```

/// note | Technische Details zu `async`

Wenn Sie die `async`-Methoden verwenden, führt **FastAPI** die Datei-Methoden in einem <abbr title="Mehrere unabhängige Kindprozesse">Threadpool</abbr> aus und erwartet sie.

///

/// note | Technische Details zu Starlette

    // Fesen Client
    //

    /**
     * Gets the thread pool used by the client.
     *
     * @return the thread pool
     */
    @Override
    public ThreadPool threadPool() {
        return client.threadPool();
    }

    /**
     * Gets the admin client for cluster and index administration.
     *
     * @return the admin client
     */
    @Override