import java.util.stream.Collectors;

import org.apache.maven.plugin.PluginValidationManager;
import org.eclipse.aether.RepositorySystemSession;
import org.eclipse.aether.artifact.Artifact;
import org.eclipse.aether.graph.Dependency;
import org.eclipse.aether.resolution.ArtifactDescriptorResult;

/**
 * Detects mixed Maven versions in plugins.
 *
 * @since 3.9.2
 */
@Singleton
@Named

import org.eclipse.aether.artifact.DefaultArtifact;
import org.eclipse.aether.collection.CollectRequest;
import org.eclipse.aether.collection.CollectResult;
import org.eclipse.aether.graph.Dependency;
import org.eclipse.aether.graph.DependencyNode;
import org.eclipse.aether.resolution.ArtifactDescriptorRequest;
import org.eclipse.aether.resolution.ArtifactDescriptorResult;
import org.eclipse.aether.resolution.ArtifactRequest;

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa.

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

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

import java.util.List;

import org.eclipse.aether.graph.Dependency;

/**
 * @deprecated use {@code org.apache.maven.api.services.ProjectBuilder} instead
 */
@Deprecated(since = "4.0.0")
public class DependencyResolutionException extends Exception {

 * under the License.
 */
package org.apache.maven.artifact.resolver;

import org.apache.maven.artifact.Artifact;

/**
 * Indicates a cycle in the dependency graph.
 *
 */
public class CyclicDependencyException extends ArtifactResolutionException {
    private Artifact artifact;

    public CyclicDependencyException(String message, Artifact artifact) {

Es wird von Pydantic **nicht unterstützt**, dass ein Pydantic‑v2‑Modell Felder hat, die als Pydantic‑v1‑Modelle definiert sind, und umgekehrt.

```mermaid
graph TB
    subgraph "❌ Nicht unterstützt"
        direction TB
        subgraph V2["Pydantic-v2-Modell"]
            V1Field["Pydantic-v1-Modell"]
        end
        subgraph V1["Pydantic-v1-Modell"]

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

import org.apache.maven.artifact.Artifact;
import org.eclipse.aether.graph.Dependency;
import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.assertNull;

class RepositoryUtilsTest {

    @Test

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

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

/**
 * MetadataGraph node - as it's a directed graph - holds adjacency lists for incident and exident nodes
 *
 *
 */
@Deprecated
public class MetadataGraphNode {
    /** node payload */
    MavenArtifactMetadata metadata;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.collect.UnmodifiableIterator;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.AbstractSet;

programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a