* under the License.
 */
package org.apache.maven.model.inheritance;

import java.io.InputStream;
import java.io.StringReader;

import org.apache.maven.api.model.InputLocation;
import org.apache.maven.api.model.InputSource;
import org.apache.maven.api.model.Model;
import org.apache.maven.model.v4.MavenMerger;
import org.apache.maven.model.v4.MavenStaxReader;
import org.junit.jupiter.api.Test;

Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadadados para todos os parâmetros de uma vez. 😎

/// note | Nota

Isso é possível desde a versão `0.115.0` do FastAPI. 🤓

///

## Parâmetros do Cabeçalho com um Modelo Pydantic

org.apache.maven.model.root.DefaultRootLocator...

## Use Case

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

     */
    void injectDefaultValues(Model model, ModelBuildingRequest request, ModelProblemCollector problems);

    org.apache.maven.api.model.Model mergeDuplicates(
            org.apache.maven.api.model.Model model, ModelBuildingRequest request, ModelProblemCollector problems);

    org.apache.maven.api.model.Model injectDefaultValues(
            org.apache.maven.api.model.Model model, ModelBuildingRequest request, ModelProblemCollector problems);

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

import org.apache.maven.model.Model;

/**
 * Provides the super POM that all models implicitly inherit from.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface SuperPomProvider {

    /**

            </goals>
            <configuration>
              <version>1.1.0</version>
              <models>
                <model>../../api/maven-api-metadata/src/main/mdo/metadata.mdo</model>
              </models>
              <templates>
                <template>model-v3.vm</template>
              </templates>
            </configuration>
          </execution>
        </executions>

{* ../../docs_src/body/tutorial001.py hl[4] *}

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

{* ../../docs_src/body/tutorial001.py hl[7:11] *}

              <version>2.0.0</version>
              <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
              <models>
                <model>src/main/mdo/settings.mdo</model>
              </models>
              <templates>
                <template>model.vm</template>
              </templates>
              <params>
                <param>packageModelV4=org.apache.maven.api.settings</param>

          <basedir>${project.basedir}/../../api/maven-api-toolchain</basedir>
          <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
          <models>
            <model>src/main/mdo/toolchains.mdo</model>
          </models>
        </configuration>
        <executions>
          <execution>
            <id>velocity</id>
            <goals>
              <goal>velocity</goal>
            </goals>