private static final long serialVersionUID = 1L;

    /**
     * Resource type that caused the error
     */
    public enum ResourceType {
        FILE_HANDLE, CONNECTION, MEMORY, DISK_SPACE, QUOTA, LOCK, BUFFER, THREAD_POOL
    }

    private final ResourceType resourceType;
    private final long availableResources;
    private final long requestedResources;

    /**
     * Creates a resource exception
     *

    int deltaRange = 10000;
    String key = "key";

    AtomicLongMap<String> map = AtomicLongMap.create();

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    ArrayList<Future<Long>> futures = new ArrayList<>();
    for (int i = 0; i < nTasks; i++) {
      futures.add(
          threadPool.submit(
              new Callable<Long>() {
                @Override
                public Long call() {

```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

    @Test
    public void testThreadPoolMethod() {
        CurlRequest request = new CurlRequest(Method.GET, "https://example.com");
        ForkJoinPool pool = new ForkJoinPool();

        CurlRequest result = request.threadPool(pool);

        assertSame(request, result); // Fluent API
    }

    @Test
    public void testEncodingSpecialCharacters() {
        CurlRequest request = new CurlRequest(Method.GET, "https://example.com");

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

/// note | Detalhes técnicos do `async`

Quando você utiliza métodos assíncronos, o **FastAPI** executa os métodos do arquivo em uma threadpool e espera por eles.

///

/// note | Detalhes técnicos do 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

```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