}
        return name;
    }

    /**
     * Executes a search operation with the specified parameters.
     * This method must be implemented by concrete searcher classes.
     *
     * @param query the search query string
     * @param params the search request parameters including pagination, filters, etc.
     * @param userBean the optional user bean for access control and personalization

 */
@Deprecated(since = "4.0.0")
public interface ModelBuilder {

    /**
     * Builds the effective model of the specified POM.
     *
     * @param request The model building request that holds the parameters, must not be {@code null}.
     * @return The result of the model building, never {@code null}.
     * @throws ModelBuildingException If the effective model could not be built.
     */

    override fun execute() {
        try {
            val versionToIncubating = mutableMapOf<Version, MutableSet<IncubatingDescription>>()
            val repositoryRoot = parameters.repositoryRoot.get().asFile.toPath()
            parameters.srcDirs.forEach { srcDir ->
                if (srcDir.exists()) {
                    val collector = CompositeVersionsToIncubatingCollector(
                        listOf(

  }

  /**
   * Returns all declared parameters of this {@code Invokable}. Note that if this is a constructor
   * of a non-static inner class, unlike {@link Constructor#getParameterTypes}, the hidden {@code
   * this} parameter of the enclosing class is excluded from the returned parameters.
   */
  @IgnoreJRERequirement
  public final ImmutableList<Parameter> getParameters() {

Los ejemplos aquí usan `.dict()` por compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` si puedes usar Pydantic v2.

///

## Request body + parámetros de path { #request-body-path-parameters }

Puedes declarar parámetros de path y request body al mismo tiempo.

/**
 * Interface for query rescoring implementations.
 */
public interface QueryRescorer {
    /**
     * Evaluates the rescorer with the given parameters.
     *
     * @param params the parameters for rescoring
     * @return the rescorer builder
     */
    RescorerBuilder<?> evaluate(final Map<String, Object> params);

 *      </td>
 *   </tr>
 *   <tr>
 *      <td>parameters</td>
 *      <td>N/A</td>
 *      <td>No</td>
 *      <td>Specifications for the parameters which this Mojo uses will be provided in <b>parameter</b> sub-elements
 *          in this section.
 *          <br>
 *          <i>NOTE: Parameters are discussed in more detail below.</i>
 *      </td>
 *   </tr>
 * </table>

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

func (l *List[T]) Len() int  { … }
</pre>

<h3 id="Type_parameter_declarations">Type parameter declarations</h3>

<p>
A type parameter list declares the <i>type parameters</i> of a generic function or type declaration.
The type parameter list looks like an ordinary <a href="#Function_types">function parameter list</a>
except that the type parameter names must all be present and the list is enclosed
in square brackets rather than parentheses

    }

    private Stream<String> getParameterNames(Parameter parameter) {
        if (parameter.getAlias() != null) {
            return Stream.of(parameter.getName(), parameter.getAlias());
        } else {
            return Stream.of(parameter.getName());
        }
    }

    private Set<String> getUnknownParameters(MojoExecution mojoExecution, Set<String> parameters) {