* Constructs a FacetResponse from OpenSearch aggregations.
     * Processes both field facets and query facets from the aggregation results.
     *
     * @param aggregations the OpenSearch aggregations containing facet data
     */
    public FacetResponse(final Aggregations aggregations) {
        aggregations.forEach(aggregation -> {
            if (aggregation.getName().startsWith(Constants.FACET_FIELD_PREFIX)) {

     * using the provided lambda function to populate the favorite log data.
     *
     * @param userCode the unique code identifying the user
     * @param favoriteLogLambda a lambda function that accepts UserInfo and FavoriteLog to populate the favorite log data
     * @return true if the URL was successfully added to favorites, false if the user was not found
     */

    //                                                                           Attribute
    //                                                                           =========
    /** Service for managing job log data */
    @Resource
    private JobLogService jobLogService;

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

    * De ce fait, en utilisant FastAPI on minimise le temps de développement, les bugs, le nombre de lignes de code, et on...

    int ERROR_PIPE_BUSY = 231;
    /** The pipe is being closed */
    int ERROR_NO_DATA = 232;
    /** No process is on the other end of the pipe */
    int ERROR_PIPE_NOT_CONNECTED = 233;
    /** More data is available */
    int ERROR_MORE_DATA = 234;
    /** The service is not installed */
    int ERROR_SERVICE_NOT_INSTALLED = 2184;
    /** The list of servers for this workgroup is not currently available */

     */
    public byte[] getFileId() {
        return Arrays.copyOf(fileId, 16);
    }

    @Override
    public int size() {
        // Context header (16) + name length (4) + padding to 8-byte alignment + data (16)
        return 16 + 4 + 4 + STRUCTURE_SIZE;
    }

    @Override
    public int encode(byte[] dst, int dstIndex) {
        int start = dstIndex;

        // Write context header

    }

    /**
     * Constructs a file notify information from the given buffer.
     *
     * @param buffer the buffer containing the notification data
     * @param bufferIndex the starting index in the buffer
     * @param len the length of data to decode
     * @throws IOException if an I/O error occurs during decoding
     */

    int ERROR_PIPE_BUSY = 231;
    /** The pipe is being closed */
    int ERROR_NO_DATA = 232;
    /** No process is on the other end of the pipe */
    int ERROR_PIPE_NOT_CONNECTED = 233;
    /** More data is available */
    int ERROR_MORE_DATA = 234;
    /** The list of servers for this workgroup is not currently available */
    int ERROR_NO_BROWSER_SERVERS_FOUND = 6118;

    /** Array of Windows error codes */

  TF_Status* status = TF_NewStatus();
  TF_Buffer* result = TFE_GetServerDef(expected_text_proto.c_str(), status);
  EXPECT_EQ(TF_GetCode(status), TF_OK);

  ServerDef actual;
  ASSERT_TRUE(actual.ParseFromArray(result->data, result->length));
  string actual_text_proto;
  tensorflow::protobuf::TextFormat::PrintToString(actual, &actual_text_proto);
  EXPECT_EQ(expected_text_proto, actual_text_proto);

            logger.debug("store {} in session", stateData);
        }
        stateMap.put(state, stateData);
    }

    /**
     * Processes authentication data from the OAuth2 callback.
     * @param request The HTTP servlet request containing authentication data.
     * @return The login credential or null if processing fails.
     */
    protected LoginCredential processAuthenticationData(final HttpServletRequest request) {