assertEquals(runtimeException, exception.getCause());
        });

        // Test with error
        Error error = new OutOfMemoryError("Out of memory");
        assertDoesNotThrow(() -> {
            RuntimeCIFSException exception = new RuntimeCIFSException(error);
            assertEquals(error, exception.getCause());
        });
    }

    @Test

    private AutoCloseable mocks;

    @BeforeEach
    public void setUp() throws Exception {
        mocks = MockitoAnnotations.openMocks(this);

        // Set up mock provider to return TCP memory regions
        when(mockProvider.registerMemory(any(ByteBuffer.class), any())).thenAnswer(invocation -> {
            ByteBuffer buffer = invocation.getArgument(0);
            EnumSet<RdmaAccess> access = invocation.getArgument(1);

return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},ce.extend({Deferred:function(e){var o=[["notify","progress",ce.Callbacks("memory"),ce.Callbacks("memory"),2],["resolve","done",ce.Callbacks("once memory"),ce.Callbacks("once memory"),0,"resolved"],["reject","fail",ce.Callbacks("once memory"),ce.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a....

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

      MockResponse
        .Builder()
        .onRequestBody(CloseSocket())
        .build(),
    )
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024
    val connection = server.url("/").toUrl().openConnection() as HttpURLConnection
    connection.requestMethod = "POST"

				return
			}
			for result := range prefixResultCh {
				results <- result
			}
		}
		xioutil.SafeClose(results)
	}()

	// Goroutine to periodically save batch-expire job's in-memory state
	saverQuitCh := make(chan struct{})
	go func() {
		saveTicker := time.NewTicker(10 * time.Second)
		defer saveTicker.Stop()
		quit := false
		after := time.Minute
		for !quit {
			select {

///

/// note | Nota técnica

Cuando importas `Query`, `Path` y otros de `fastapi`, en realidad son funciones.

Que cuando se llaman, retornan instances de clases con el mismo nombre.

Así que importas `Query`, que es una función. Y cuando la llamas, retorna una instance de una clase también llamada `Query`.

- Interfaz de búsqueda: http://localhost:8080/

![Interfaz de Búsqueda](https://fess.codelibs.org/_images/fess_search_result1.png)

- Interfaz de administración: http://localhost:8080/admin/ (el nombre de usuario/contraseña por defecto es admin/admin)

![Interfaz de Administración](https://fess.codelibs.org/_images/fess_admin_dashboard.png)

### `UploadFile`

`UploadFile` tiene los siguientes atributos:

* `filename`: Un `str` con el nombre original del archivo que fue subido (por ejemplo, `myimage.jpg`).
* `content_type`: Un `str` con el tipo de contenido (MIME type / media type) (por ejemplo, `image/jpeg`).

 * {@link ESSourceReader} reads documents from Elasticsearch using the scroll API.
 * It implements the {@link DocumentReader} interface to provide a way to iterate over documents
 * in a large index without loading all of them into memory at once.
 * </p>
 *
 * <p>
 * The reader supports limiting the number of documents read based on a percentage of the total documents