*/
package org.apache.maven.model.root;

import javax.inject.Named;
import javax.xml.stream.XMLInputFactory;
import javax.xml.stream.XMLStreamException;
import javax.xml.stream.XMLStreamReader;

import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import java.nio.file.Path;

/**
 * @deprecated use {@code org.apache.maven.api.services.model.RootLocator} instead
 */
@Named

import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.apache.maven.api.Lifecycle;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.plugin.descriptor.PluginDescriptor;

class PluginLifecycle implements Lifecycle {
    private final org.apache.maven.api.plugin.descriptor.lifecycle.Lifecycle lifecycleOverlay;

 * under the License.
 */
package org.apache.maven.repository.internal;

import org.apache.maven.model.building.ModelCache;
import org.eclipse.aether.RepositoryCache;
import org.eclipse.aether.RepositorySystemSession;

/**
 * A model builder cache backed by the repository system cache.
 *
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */

import java.util.ArrayList;
import java.util.List;

import org.apache.commons.jxpath.ri.QName;
import org.apache.commons.jxpath.ri.compiler.NodeTest;
import org.apache.commons.jxpath.ri.model.NodeIterator;
import org.apache.commons.jxpath.ri.model.NodePointer;
import org.apache.maven.api.xml.XmlNode;

/**
 * A node pointer for JXPath to support <code>Xpp3Dom</code>.
 *
 */
class Xpp3DomNodePointer extends NodePointer {

### Memoria por Proceso { #memory-per-process }

Ahora, cuando el programa carga cosas en memoria, por ejemplo, un modelo de Machine Learning en una variable, o el contenido de un archivo grande en una variable, todo eso **consume un poco de la memoria (RAM)** del servidor.

import org.apache.maven.artifact.resolver.ArtifactResolutionException;
import org.apache.maven.artifact.versioning.InvalidVersionSpecificationException;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.ReportPlugin;
import org.apache.maven.plugin.version.PluginVersionNotFoundException;
import org.apache.maven.plugin.version.PluginVersionResolutionException;

/**

import java.util.Set;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.lifecycle.LifecycleExecutor;
import org.apache.maven.lifecycle.MavenExecutionPlan;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.plugin.MojoExecution;

/**
 * A stub implementation that assumes an empty lifecycle to bypass interaction with the plugin manager and to avoid

specific language governing permissions and limitations
under the License.
-->

<model xmlns="http://modello.codehaus.org/MODELLO/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://modello.codehaus.org/MODELLO/1.0.0 http://modello.codehaus.org/xsd/modello-1.0.0.xsd"
  xml.namespace="http://maven.apache.org/PROFILES/${version}"

Adoptar temporalmente este punto de vista (del *desarrollador externo*) puede ayudarte a sentir que es más obvio dónde poner los parámetros, el modelo de Pydantic para el body, para el response, etc. para esa *API externa*.

///

### Crea un `APIRouter` de callback { #create-a-callback-apirouter }

Primero crea un nuevo `APIRouter` que contendrá uno o más callbacks.

### Action Required

* kube-apiserver: a new authorization mode (`--authorization-mode=Node`) authorizes nodes to access secrets, configmaps, persistent volume claims and persistent volumes related to their pods. ([#46076](https://github.com/kubernetes/kubernetes/pull/46076), [@liggitt](https://github.com/liggitt))