private int numberOfNames;
    private final byte[] macAddress;
    private byte[] stats;

    NbtAddress[] addressArray;

    /*
     * It is a little awkward but prudent to pass the quering address
     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate

        assertEquals(listOfMaps, result);
    }

    @Test
    public void test_encodeUrl_squareBrackets() {
        // CharUtil.isUrlChar treats [ ] as valid URL chars, so they pass through unchanged
        String result = DocumentUtil.encodeUrl("http://example.com/path/[id]/page");
        assertEquals("http://example.com/path/[id]/page", result);
    }

    @Test

    isContinue: Boolean = true,
    maxParallelForks: String = "%maxParallelForks%",
): List<String> =
    listOf(
        // We pass the 'maxParallelForks' setting as 'workers.max' to limit the maximum number of executers even
        // if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks)

* `File()`

you can also declare a group of `examples` with additional information that will be added to their **JSON Schemas** inside of **OpenAPI**.

### `Body` with `examples` { #body-with-examples }

Here we pass `examples` containing one example of the data expected in `Body()`:

{* ../../docs_src/schema_extra_example/tutorial003_an_py310.py hl[22:29] *}

### Example in the docs UI { #example-in-the-docs-ui }

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

Comme cela se passe côté Rust, la performance sera bien meilleure que si cela était fait avec le Python classique et la classe `JSONResponse`.

A única coisa que a função retornada por `GzipRequest.get_route_handler` faz de diferente é converter o `Request` para um `GzipRequest`.

Fazendo isso, nosso `GzipRequest` irá cuidar de descomprimir os dados (se necessário) antes de passá-los para nossas *operações de rota*.

Depois disso, toda a lógica de processamento é a mesma.

    // URL escapers should throw null pointer exceptions for null input
    try {
      e.escape((String) null);
      fail("Escaping null string should throw exception");
    } catch (NullPointerException x) {
      // pass
    }

    // All URL escapers should leave 0-9, A-Z, a-z unescaped
    assertUnescaped(e, 'a');
    assertUnescaped(e, 'z');
    assertUnescaped(e, 'A');
    assertUnescaped(e, 'Z');
    assertUnescaped(e, '0');

    return delegate().asMap();
  }

  @Override
  public void cleanUp() {
    delegate().cleanUp();
  }

  /**
   * A simplified version of {@link ForwardingCache} where subclasses can pass in an already
   * constructed {@link Cache} as the delegate.
   *
   * @since 10.0
   */
  public abstract static class SimpleForwardingCache<K, V> extends ForwardingCache<K, V> {

* de la donnée envoyée depuis votre programme soit reçue par le client à travers le réseau
* le contenu d'un fichier sur le disque soit lu par le système et passé à votre programme
* le contenu que votre programme a passé au système soit écrit sur le disque
* une opération effectuée à distance par une API se termine
* une opération en base de données se termine
* une requête à une base de données renvoie un résultat

En un escenario avanzado donde sabes que necesitas que la dependencia se llame en cada paso (posiblemente varias veces) en el mismo request en lugar de usar el valor "en caché", puedes establecer el parámetro `use_cache=False` al usar `Depends`:

//// tab | Python 3.10+

```Python hl_lines="1"