* 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) {

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import java.util.Set;

/**
 * A class to allow {@link Graph} implementations to be backed by a {@link BaseGraph}. This is not
 * currently planned to be released as a general-purpose forwarding class.
 *
 * @author James Sexton
 */

### 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"]

///

### 同一应用中同时使用 Pydantic v1 与 v2 { #pydantic-v1-and-v2-on-the-same-app }

Pydantic 不支持在一个 Pydantic v2 模型的字段中定义 Pydantic v1 模型，反之亦然。

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

///

### 同一應用同時使用 Pydantic v1 與 v2 { #pydantic-v1-and-v2-on-the-same-app }

Pydantic 不支援在 Pydantic v2 模型的欄位中使用 Pydantic v1 模型，反之亦然。

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

 * 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;

The diagram below shows the relationships between the different processes:

```mermaid
    graph LR
        
        gradle["Gradle CLI client"]
    
        gradlew["Gradlew CLI client"]
    
        subgraph IDE    
            tapi["Tooling API client"]
        end
        

#include "tensorflow/core/common_runtime/function_optimization_registry.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"

 * 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