*/
    // PUT /api/admin/user/setting
    @Execute
    public JsonResponse<ApiResult> put$setting(final EditBody body) {
        validateApi(body, messages -> {});
        validateAttributes(body.attributes, this::throwValidationErrorApi);
        body.crudMode = CrudMode.EDIT;
        final User entity = getUser(body).orElseGet(() -> {
            throwValidationErrorApi(messages -> {

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

La chaîne sera vérifiée comme URL valide et documentée comme telle dans JSON Schema / OpenAPI.

## Attributs avec des listes de sous-modèles { #attributes-with-lists-of-submodels }

Vous pouvez également utiliser des modèles Pydantic comme sous-types de `list`, `set`, etc. :

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | 경고

`Field`는 다른 것들처럼 (`Query`, `Path`, `Body` 등) `fastapi`에서가 아닌 `pydantic`에서 바로 임포트 되는 점에 주의하세요.

///

## 모델 어트리뷰트 선언 { #declare-model-attributes }

그 다음 모델 어트리뷰트와 함께 `Field`를 사용할 수 있습니다:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field`는 `Query`, `Path`와 `Body`와 같은 방식으로 동작하며, 모두 같은 매개변수들 등을 가집니다.

/// note | 기술 세부사항

        int numReplicas = toInt(params[2]);
        int numNodes = toInt(params[3]);

        strategy = Allocators.createAllocationService(
            Settings.builder().put("cluster.routing.allocation.awareness.attributes", "tag").build()
        );

        Metadata.Builder mb = Metadata.builder();
        for (int i = 1; i <= numIndices; i++) {
            mb.put(
                IndexMetadata.builder("test_" + i)

                compositeConfiguration.setCanBeResolved(false);
                compositeConfiguration.getAttributes().attribute(ARTIFACT_FORMAT, ArtifactTypeDefinition.DIRECTORY_TYPE);
                compositeConfiguration.getAttributes().attribute(Attribute.of("composite", Boolean.class), true);
                sub.getArtifacts().add(COMPOSITE_CONFIGURATION_NAME, distributionArchive.getArchiveTask());

	if err != nil {
		// We start off with '0' if we can read the attributes
		return 0
	}
	return binary.LittleEndian.Uint64(buf[:8])
}

func (s *xlStorage) getWriteAttribute() uint64 {
	attr := "user.total_writes"
	buf, err := xattr.LGet(s.formatFile, attr)
	if err != nil {
		// We start off with '0' if we can read the attributes
		return 0
	}

	return binary.LittleEndian.Uint64(buf[:8])
}

      throws IOException {
    Manifest manifest = new Manifest();
    // Without version, the manifest is silently ignored. Ugh!
    manifest.getMainAttributes().put(Attributes.Name.MANIFEST_VERSION, "1.0");
    manifest.getMainAttributes().put(Attributes.Name.CLASS_PATH, jarFile.getName());

    Closer closer = Closer.create();
    try {
      FileOutputStream fileOut = closer.register(new FileOutputStream(jarFile));

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

A string será verificada para se tornar uma URL válida e documentada no JSON Schema / OpenAPI como tal.

## Atributos como listas de submodelos { #attributes-with-lists-of-submodels }

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

El string será verificado para ser una URL válida, y documentado en JSON Schema / OpenAPI como tal.

## Atributos con listas de submodelos { #attributes-with-lists-of-submodels }

También puedes usar modelos Pydantic como subtipos de `list`, `set`, etc.:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

        @Test
        @DisplayName("Should encode RID with attribute correctly")
        void testEncode() throws NdrException {
            // Given: RID with attribute
            samr.SamrRidWithAttribute ridWithAttribute = new samr.SamrRidWithAttribute();
            ridWithAttribute.rid = 100;
            ridWithAttribute.attributes = 200;

            // When: Encoding