事实上，在某些情况下，对于同一个 Pydantic 模型，OpenAPI 中会根据是否带有**默认值**，为输入和输出分别生成**两个 JSON Schema**。

我们来看看它如何工作，以及在需要时如何修改。

## 用于输入和输出的 Pydantic 模型 { #pydantic-models-for-input-and-output }

假设你有一个带有默认值的 Pydantic 模型，例如：

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### 输入用的模型 { #model-for-input }

如果你像下面这样把该模型用作输入：

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

constraints.Length.message = {item} की लंबाई {min} और {max} के बीच होनी चाहिए।
constraints.LuhnCheck.message = {value} का Luhn Modulo 11 चेकसम गलत है।
constraints.Mod10Check.message = {value} का Modulo 10 चेकसम गलत है।
constraints.Mod11Check.message = {value} का Modulo 11 चेकसम गलत है।
constraints.ModCheck.message = {value} का {modType} चेकसम गलत है।
constraints.NotBlank.message = {item} आवश्यक है।

//// tab | `venv`

To create a virtual environment, you can use the `venv` module that comes with Python.

<div class="termy">

```console
$ python -m venv .venv
```

</div>

/// details | What that command means

* `python`: use the program called `python`
* `-m`: call a module as a script, we'll tell it which module next
* `venv`: use the module called `venv` that normally comes installed with Python

Muchos paquetes que lo simplifican tienen que hacer muchos compromisos con el modelo de datos, la base de datos y las funcionalidades disponibles. Y algunos de estos paquetes que simplifican las cosas demasiado en realidad tienen fallos de seguridad en el fondo.

---

**FastAPI** no hace ningún compromiso con ninguna base de datos, modelo de datos o herramienta.

}

tasks.named<UpdateDaemonJvm>("updateDaemonJvm") {
    languageVersion = JavaLanguageVersion.of(17)
}

tasks.withType<UpdateReleasedVersions>().configureEach {
    releasedVersionsFile = releasedVersionsFile()
    group = "Versioning"
}

tasks.register<UpdateReleasedVersions>("updateReleasedVersions") {
    currentReleasedVersion = ReleasedVersion(

     */
    @Override
    public AppConfigurationEntry[] getAppConfigurationEntry(String name) {
        return new AppConfigurationEntry[] {
                new AppConfigurationEntry("com.sun.security.auth.module.Krb5LoginModule", LoginModuleControlFlag.REQUIRED, this.options) };
    }

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Model;

/**
 * Provides the super POM that all models implicitly inherit from.
 *
 * @since 4.0.0
 */
@Experimental
public interface SuperPomProvider extends Service {

    /**
     * Gets the super POM for the specified model version.
     *
     * @param version The model version to retrieve the super POM for (e.g. "4.0.0"), must not be {@code null}.

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

package org.elasticsearch.gradle.internal;

/**
 * This class models the different Docker base images that are used to build Docker distributions of Elasticsearch.
 */
public enum DockerBase {
    CENTOS("centos:8", ""),

    // "latest" here is intentional, since the image name specifies "8"

 *
 * <p>Key features include:</p>
 * <ul>
 *   <li>Build lifecycle execution control</li>
 *   <li>Project-specific configuration</li>
 *   <li>Goal execution and phase mapping</li>
 *   <li>Multi-module build coordination</li>
 * </ul>
 *
 * @see org.apache.maven.api.cli.Tools#MVN_CMD
 * @see org.apache.maven.api.cli.Tools#MVN_NAME
 * @since 4.0.0
 */

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.constants;

/**
 * This class contains constants used in the Fess Suggest module.
 * It is a utility class and should not be instantiated.
 */
public final class SuggestConstants {
    // Private constructor to prevent instantiation
    private SuggestConstants() {
    }