```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3

/**
 * Describes a problem that was encountered during model building. A problem can either be an exception that was thrown
 * or a simple string message. In addition, a problem carries a hint about its source, e.g. the POM file that exhibits
 * the problem.
 *
 */
public interface ModelProblem extends BuilderProblem {

    /**
     * Enumeration of model versions that can be validated.

    router = APIRouter()

    @app.post("/", response_model=list[Item], responses={404: {"model": list[Message]}})
    def post_root(item1: Item, item2: Item):
        return item1, item2  # pragma: nocover

    @router.post(
        "/router", response_model=list[Item], responses={404: {"model": list[Message]}}
    )
    def post_router(item1: Item, item2: Item):
        return item1, item2  # pragma: nocover

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.profile;

import java.util.Collection;
import java.util.List;

import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Calculates the active profiles among a given collection of profiles.
 *

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, die Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

 * under the License.
 */
package org.apache.maven.toolchain.merge;

import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

import org.apache.maven.toolchain.model.PersistedToolchains;
import org.apache.maven.toolchain.model.ToolchainModel;
import org.codehaus.plexus.util.xml.Xpp3Dom;

/**
 *
 * @since 3.2.4
 * @deprecated since 4.0.0, use {@link org.apache.maven.toolchain.v4.MavenToolchainsMerger} instead

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.building;

import org.apache.maven.model.io.ModelReader;
import org.apache.maven.model.locator.ModelLocator;

/**
 * ModelProcessor
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

    private String javaHome;

    public static final String KEY_JAVAHOME = "jdkHome"; // NOI18N

    JavaToolchainImpl(ToolchainModel model, Logger logger) {
        super(model, "jdk", logger);
    }

    public String getJavaHome() {
        return javaHome;
    }

    public void setJavaHome(String javaHome) {
        this.javaHome = javaHome;
    }

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test
    void testFalsePluginExecutionInheritValue() throws Exception {