}

  /**
   * Incorporate additional requirements into an existing requirements object.
   *
   * @param requirements the existing requirements object
   * @param moreRequirements more requirements to incorporate
   * @param source the source of the additional requirements (used only for error reporting)
   * @return the existing requirements object, modified to include the additional requirements

    // Three catchers for related types String, Object, and Comparable<?>.
    // String isa Object
    // String isa Comparable<?>
    // Comparable<?> isa Object
    StringCatcher stringCatcher = new StringCatcher();

    List<Object> objectEvents = new ArrayList<>();
    Object objCatcher =
        new Object() {
          @Subscribe
          public void eat(Object food) {
            objectEvents.add(food);
          }

E também teremos anotações/documentação em conformidade.

## Modelos aninhados

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

  }

  /**
   * Incorporate additional requirements into an existing requirements object.
   *
   * @param requirements the existing requirements object
   * @param moreRequirements more requirements to incorporate
   * @param source the source of the additional requirements (used only for error reporting)
   * @return the existing requirements object, modified to include the additional requirements

    @Mock
    private Configuration configuration;

    @Mock
    private jcifs.SmbTransportPool transportPool;

    @Mock
    private NameServiceClient nameServiceClient;

    /**
     * Sets up the mock objects before each test.
     * @throws CIFSException
     */
    @BeforeEach
    void setUp() throws CIFSException {
        ntlmServlet = new TestNtlmServlet();

		owners = append(owners, fmt.Sprintf("node-%d", i))
	}

	// Simulate DeleteObjects of 10 objects in a single request. i.e same lock
	// request UID, but 10 different resource names associated with it.
	var lris []lockRequesterInfo
	uuid := mustGetUUID()
	for i := range 10 {
		resource := fmt.Sprintf("bucket/delete-object-%d", i)
		lri := lockRequesterInfo{
			Name:   resource,
			Writer: true,
			UID:    uuid,

   * example using {@link Arrays#asList(Object[])}, making this method unnecessary.
   *
   * <p>The {@code Iterable} equivalent of this method is either {@link Arrays#asList(Object[])},
   * {@link ImmutableList#copyOf(Object[])}}, or {@link ImmutableList#of}.
   */
  @SafeVarargs
  public static <T extends @Nullable Object> UnmodifiableIterator<T> forArray(T... array) {

			}
			for object := range clnt.ListObjects(cctx, bucket, opts) {
				if object.Err != nil {
					return
				}
				objectsCh <- object
			}
		}()

		// Call RemoveObjects API
		for err := range clnt.RemoveObjects(context.Background(), bucket, objectsCh, minio.RemoveObjectsOptions{}) {
			if err.Err != nil {
				return err.Err
			}
		}
		return err

	case "Remove":

	globalNetPerfRX              netPerfRX
	globalSiteNetPerfRX          netPerfRX
	globalObjectPerfBucket       = "minio-perf-test-tmp-bucket"
	globalObjectPerfUserMetadata = "X-Amz-Meta-Minio-Object-Perf" // Clients can set this to bypass S3 API service freeze. Used by object pref tests.

	// MinIO version unix timestamp
	globalVersionUnix uint64

	// MinIO client
	globalMinioClient *minio.Client

   * This method behaves equivalently to {@linkplain #zip zipping} the stream elements into
   * temporary pair objects and then using {@link Stream#forEach} on that stream.
   *
   * @since 33.4.0 (but since 22.0 in the JRE flavor)
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object> void forEachPair(
      Stream<A> streamA, Stream<B> streamB, BiConsumer<? super A, ? super B> consumer) {