*     wait on each method call to the proxy
   * @return a time-limiting proxy
   * @throws IllegalArgumentException if {@code interfaceType} is a regular class, enum, or
   *     annotation type, rather than an interface
   */
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  <T> T newProxy(T target, Class<T> interfaceType, long timeoutDuration, TimeUnit timeoutUnit);

         *            The cal to set.
         */
        public void setCal(final Calendar cal) {
            this.cal = cal;
        }
    }

    /**
     *
     */
    public enum MyEnum {
        /**
         *
         */
        ONE,
        /**
         *
         */
        TWO
    }

    /**
     *
     */
    private class MyDto {

  /**
   * Class used to test whether equals() correctly handles an instance of an incompatible class.
   * Since it is a private inner class, the invoker can never pass in an instance to the tester
   */
  private enum NotAnInstance {
    EQUAL_TO_NOTHING;
  }

En este caso hay 3 parámetros de query:

* `needy`, un `str` requerido.
* `skip`, un `int` con un valor por defecto de `0`.
* `limit`, un `int` opcional.

/// tip | Consejo

También podrías usar los `Enum`s de la misma manera que con los [Parámetros de path](path-params.md#valores-predefinidos){.internal-link target=_blank}.

Nesse caso, existem 3 parâmetros de consulta:

* `needy`, um `str` obrigatório.
* `skip`, um `int` com o valor padrão `0`.
* `limit`, um `int` opcional.

/// tip | "Dica"

Você também poderia usar `Enum` da mesma forma que com [Path Parameters](path-params.md#valores-predefinidos){.internal-link target=_blank}.

namespace tensorflow {

// Abstract interface to an operation.
// This interface allows building and executing an operation in either
// tracing or immediate execution mode.
class AbstractOperation {
 protected:
  enum AbstractOperationKind {
    kGraph,
    kMlir,
    kEager,
    kTfrt,
    kTape,
    kOpHandler
  };
  explicit AbstractOperation(AbstractOperationKind kind) : kind_(kind) {}
  virtual ~AbstractOperation() {}

    testComparator(ordering, 1, 12, 124, 2);
    assertEquals("Ordering.usingToString()", ordering.toString());
    assertSame(ordering, reserialize(ordering));
  }

  // use an enum to get easy serializability
  private enum CharAtFunction implements Function<String, Character> {
    AT0(0),
    AT1(1),
    AT2(2),
    AT3(3),
    AT4(4),
    AT5(5),
    ;

    final int index;

    testComparator(ordering, 1, 12, 124, 2);
    assertEquals("Ordering.usingToString()", ordering.toString());
    assertSame(ordering, reserialize(ordering));
  }

  // use an enum to get easy serializability
  private enum CharAtFunction implements Function<String, Character> {
    AT0(0),
    AT1(1),
    AT2(2),
    AT3(3),
    AT4(4),
    AT5(5),
    ;

    final int index;

 *
 * <p>Note: the Apache benchmarks are not open sourced to avoid the extra dependency.
 *
 * @author Louis Wasserman
 */
public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {
        return DoubleMath.factorial(n);
      }

      @Override
      public int gcdInt(int a, int b) {

 * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this
 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override