"name": "The Baz"
        }
    ]
}
```
/// info

Remarquez que la clé `images` contient maintenant une liste d'objets image.

///

## Modèles profondément imbriqués { #deeply-nested-models }

Vous pouvez définir des modèles imbriqués à une profondeur arbitraire :

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

import java.io.FilterReader;
import java.io.IOException;
import java.io.Reader;
import java.io.StringReader;
import java.util.ArrayList;
import java.util.List;
import java.util.Locale;

/**
 * Deeply opinionated file filter that adds elements to the release notes HTML page.
 */
public class ReleaseNotesTransformer extends FilterReader {
    private File baseCss;
    private File releaseNotesCss;

* die Typannotation
* der Typhinweis

* der Serverworker
* der Uvicorn-Worker
* der Gunicorn-Worker
* der Workerprozess
* die Workerklasse
* die Workload

* das Deployment
* deployen

* das SDK
* das Software Development Kit

* der `APIRouter`
* die `requirements.txt`
* das Bearer-Token
* der Breaking Change
* der Bug
* der Button
* das Callable
* der Code

      <fields>
        <field>
          <name>timestamp</name>
          <version>1.0.0+</version>
          <description>The timestamp when this version was deployed. The timestamp is expressed using UTC in the format yyyyMMdd.HHmmss.</description>
          <type>String</type>
        </field>
        <field>
          <name>buildNumber</name>
          <version>1.0.0+</version>

            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info | 정보

`images` 키가 이제 이미지 객체 리스트를 갖는지 주목하세요.

///

## 깊게 중첩된 모델 { #deeply-nested-models }

임의로 깊게 중첩된 모델을 정의할 수 있습니다:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | 정보

            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info | 信息

请注意 `images` 键现在具有一组 image 对象是如何发生的。

///

## 深度嵌套模型 { #deeply-nested-models }

你可以定义任意深度的嵌套模型：

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | 信息

请注意 `Offer` 拥有一组 `Item` 而反过来 `Item` 又是一个可选的 `Image` 列表是如何发生的。

///

    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

            assertEquals("test-project.artifact", gav.artifactId());
            assertEquals("1.0.0-SNAPSHOT", gav.version());
        }

        @Test
        @DisplayName("should handle deeply nested parent inheritance")
        void shouldHandleDeeplyNestedParentInheritance() throws Exception {
            String pomXml = """
                <?xml version="1.0" encoding="UTF-8"?>

        assertEquals(0, buffer[1]);
    }

    @Test
    @DisplayName("Test writeBytesWireFormat with long path")
    void testWriteBytesWireFormatLongPath() {
        String longPath = "very\\long\\path\\to\\some\\deeply\\nested\\file\\in\\directory\\structure.txt";
        request = new Smb2CreateRequest(mockConfig, longPath);

        byte[] buffer = new byte[2048];
        int bytesWritten = request.writeBytesWireFormat(buffer, 0);

* l’annotation de type

* le worker du serveur
* le worker Uvicorn
* le Worker Gunicorn
* le processus worker
* la classe de worker
* la charge de travail

* le déploiement
* déployer

* le SDK
* le kit de développement logiciel

* le `APIRouter`
* le `requirements.txt`
* le jeton Bearer
* le changement majeur incompatible
* le bogue
* le bouton
* l’appelable