// ============================================================

    /** Request attribute key for storing queries. */
    public static final String REQUEST_QUERIES = "fess.Queries";

    /** Request attribute key for storing highlight queries. */
    public static final String HIGHLIGHT_QUERIES = "fess.HighlightQueries";

    /** Request attribute key for storing field logs. */
    public static final String FIELD_LOGS = "fess.FieldLogs";

{
  "name": "small_pdf1.pdf",
  "lume_id": "9507193e-572d-4f95-bcf1-e9226d96be65",
  "elements": [
    {
      "element_type": "__elem__image",
      "element_id": "859d09c4-7cf1-4a37-9674-3a7de8b56abc",
      "attributes": {
        "__attr__image_dpi": 300,
        "__attr__image_size": [
          2550,
          3299
        ],
        "__attr__image_index": 1,
        "__attr__image_format": "JPEG",

{* ../../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] *}

         * File was modified in the directory
         */
        FILE_MODIFIED,
        /**
         * Directory was renamed
         */
        DIRECTORY_RENAMED,
        /**
         * File or directory attributes were changed
         */
        ATTRIBUTES_CHANGED
    }

    /**
     * SMB2 File Action constants
     */
    private static final int FILE_ACTION_ADDED = 0x00000001;

	AmzMaxParts             = "X-Amz-Max-Parts"
	AmzPartNumberMarker     = "X-Amz-Part-Number-Marker"

	// Constants used for GetObjectAttributes and GetObjectVersionAttributes
	AmzObjectAttributes = "X-Amz-Object-Attributes"

	AmzMetaUnencryptedContentLength = "X-Amz-Meta-X-Amz-Unencrypted-Content-Length"
	AmzMetaUnencryptedContentMD5    = "X-Amz-Meta-X-Amz-Unencrypted-Content-Md5"

        super();
    }

    // ===================================================================================
    //                                                                           Attribute
    //                                                                           =========
    /** Service for managing related query operations. */
    @Resource
    private RelatedQueryService relatedQueryService;

    protected PathMappingHelper pathMappingHelper;

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                               Hook

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

Рядок буде перевірено як дійсну URL-адресу і задокументовано в JSON Schema / OpenAPI як URL.

## Атрибути зі списками підмоделей { #attributes-with-lists-of-submodels }

У Pydantic ви можете використовувати моделі як підтипи для `list`, `set` тощо:

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

  EXPECT_EQ(
      std::string("Invalid FunctionDef given to TF_FunctionImportFunctionDef"),
      std::string(TF_Message(s_)));
}

TEST_F(CApiFunctionTest, Attribute) {
  DefineFunction(func_name_, &func_);

  // Get non existent attribute
  TF_Buffer* attr_buf = TF_NewBuffer();
  TF_FunctionGetAttrValueProto(func_, "foo_attr", attr_buf, s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));

  // Runtime. This is necessary to decouple runtime-dependent
  // code that is layered on top of the runtime.
  virtual bool UsesTFRT() = 0;

  // List attributes of available devices
  virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;

  // Add `devices` into context's device manager. Context's device manager