import java.util.Map;
import java.util.Properties;

import org.apache.maven.api.services.Lookup;
import org.apache.maven.api.spi.PropertyContributor;
import org.apache.maven.execution.MavenExecutionRequest;

/**
 * Extender that manages {@link PropertyContributor}.
 *
 * @since 4.0.0
 */
@Named
@Singleton
class PropertyContributorExtender implements MavenExecutionRequestExtender {
    private final Lookup lookup;

    @Inject

Pero primero deberías leer el **Tutorial - Guía de Usuario** (lo que estas leyendo ahora mismo).

                    .forEach(paths::add);
        }
        sessionBuilder.withLocalRepositoryBaseDirectories(paths);

        for (RepositorySystemSessionExtender extender : sessionExtenders.values()) {
            extender.extend(request, configProps, mirrorSelector, proxySelector, authSelector);
        }

import org.eclipse.aether.repository.MirrorSelector;
import org.eclipse.aether.repository.ProxySelector;
import org.eclipse.aether.repository.RemoteRepository;

/**
 * Extender that fills in legacy bits (using legacy code).
 *
 * @since 4.0.0
 */
@Named
@Singleton
public class LegacyRepositorySystemSessionExtender implements RepositorySystemSessionExtender {
    @Override

    * Puedes tener objetos de **JSON profundamente anidados** y que todos sean validados y anotados.
* **Extensible**:
    * Pydantic permite que se definan tipos de datos a la medida o puedes extender la validación con métodos en un modelo decorado con el <abbr title="en inglés: validator decorator"> decorador de validación</abbr>.

- Previously, the scheduling queue didn't notice any extenders' failures, potentially resulting in missed cluster events and Pods rejected by Extenders being stuck in the unschedulable pod pool for up to 5 minutes in the worst-case scenario. Now, the scheduling queue notices extenders' failures and requeues Pods rejected by Extenders appropriately.

- The scheduling queue didn't notice any extenders' failures, it could miss some cluster events,
  and it could end up Pods rejected by Extenders stuck in unschedulable pod pool in 5min in the worst-case scenario.

- The scheduling queue didn't notice any extenders' failures, it could miss some cluster events,
  and it could end up Pods rejected by Extenders stuck in unschedulable pod pool in 5min in the worst-case scenario.

- The scheduling queue didn't notice any extenders' failures, it could miss some cluster events,
  and it could end up Pods rejected by Extenders stuck in unschedulable pod pool in 5min in the worst-case scenario.

- The scheduling queue didn't notice any extenders' failures, it could miss some cluster events,
  and it could end up Pods rejected by Extenders stuck in unschedulable pod pool in 5min in the worst-case scenario.