import org.apache.maven.RepositoryUtils;
import org.apache.maven.api.Service;
import org.apache.maven.api.Session;
import org.apache.maven.api.cli.extensions.CoreExtension;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.services.ArtifactCoordinatesFactory;
import org.apache.maven.api.services.ArtifactManager;
import org.apache.maven.api.services.ArtifactResolver;

import org.junit.jupiter.api.Test
import org.mockserver.client.MockServerClient
import org.mockserver.configuration.Configuration
import org.mockserver.logging.MockServerLogger
import org.mockserver.model.HttpRequest.request
import org.mockserver.model.HttpResponse.response
import org.mockserver.proxyconfiguration.ProxyConfiguration
import org.mockserver.socket.tls.KeyStoreFactory
import org.testcontainers.containers.MockServerContainer

Natürlich werden Sie wahrscheinlich viel bessere Möglichkeiten finden, Vorteil daraus zu ziehen, als JSON zu formatieren. 😉

### `orjson` oder Responsemodell { #orjson-or-response-model }

Wenn es Ihnen um Leistung geht, sind Sie wahrscheinlich mit einem [Responsemodell](../tutorial/response-model.md) besser beraten als mit einer `orjson`-Response.

package configurations

import common.Os
import jetbrains.buildServer.configs.kotlin.BuildType
import model.Stage

open class BaseGradleBuildType(
    open val stage: Stage? = null,
    open val failStage: Boolean = true,
    init: BaseGradleBuildType.() -> Unit = {},
) : BuildType() {
    init {
        this.init()
    }
}

open class OsAwareBaseGradleBuildType(
    val os: Os,
    override val stage: Stage? = null,

Bunu `openapi_extra` ile yapabilirsiniz:

{* ../../docs_src/path_operation_advanced_configuration/tutorial006_py310.py hl[19:36, 39:40] *}

import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension
import org.junit.jupiter.api.parallel.Isolated
import org.mockserver.client.MockServerClient
import org.mockserver.model.HttpRequest.request
import org.mockserver.model.HttpResponse.response
import org.testcontainers.containers.MockServerContainer
import org.testcontainers.junit.jupiter.Container
import org.testcontainers.junit.jupiter.Testcontainers

@Testcontainers

import org.apache.maven.execution.MavenSession;
import org.apache.maven.execution.ProjectActivation;
import org.apache.maven.execution.ProjectDependencyGraph;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.building.DefaultModelProblem;
import org.apache.maven.model.building.Result;
import org.apache.maven.project.CycleDetectedException;
import org.apache.maven.project.DuplicateProjectException;
import org.apache.maven.project.MavenProject;

 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal;

import org.gradle.api.model.ObjectFactory;
import org.gradle.api.provider.ListProperty;

public class DistributionArchiveCheckExtension {

    ListProperty<String> expectedMlLicenses;

下面的代码展示了不同模型处理密码字段的方式，及使用位置的大致思路：

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### 关于 `**user_in.model_dump()` { #about-user-in-model-dump }

#### Pydantic 的 `.model_dump()` { #pydantics-model-dump }

`user_in` 是类 `UserIn` 的 Pydantic 模型。

Pydantic 模型有 `.model_dump()` 方法，会返回包含模型数据的 `dict`。

因此，如果使用如下方式创建 Pydantic 对象 `user_in`：

```Python

### `orjson` ou Modèle de réponse { #orjson-or-response-model }

Si ce que vous recherchez est la performance, vous aurez probablement de meilleurs résultats en utilisant un [Modèle de réponse](../tutorial/response-model.md) qu'une réponse `orjson`.