* @return the head of the request queue
   */
  @Throws(InterruptedException::class)
  public fun takeRequest(
    timeout: Long,
    unit: TimeUnit,
  ): RecordedRequest? = requestQueue.poll(timeout, unit)

  /**
   * Scripts [response] to be returned to a request made in sequence. The first request is
   * served by the first enqueued response; the second request by the second enqueued response; and

Las definiciones de esquema de cuerpo no usaban las mismas anotaciones de tipos de Python como Pydantic, era un poco más similar a Marshmallow, por lo que el soporte del editor no sería tan bueno, pero aún así, APIStar era la mejor opción disponible.

Tenía los mejores benchmarks de rendimiento en ese momento (solo superado por Starlette).

func (field *Field) setupNewValuePool() {
	if field.Serializer != nil {
		serializerValue := reflect.Indirect(reflect.ValueOf(field.Serializer))
		serializerType := serializerValue.Type()
		field.NewValuePool = &sync.Pool{
			New: func() interface{} {
				si := reflect.New(serializerType)
				si.Elem().Set(serializerValue)
				return &serializer{
					Field:      field,
					Serializer: si.Interface().(SerializerInterface),
				}

	}
	if err != nil {
		return res, toStorageErr(err)
	}

	defer storageRenameDataRPC.PutResponse(resp)
	return *resp, nil
}

// where we keep old *Readers
var readMsgpReaderPool = bpool.Pool[*msgp.Reader]{New: func() *msgp.Reader { return &msgp.Reader{} }}

// mspNewReader returns a *Reader that reads from the provided reader.
// The reader will be buffered.
// Return with readMsgpReaderPoolPut when done.

        
        synchronized (pendingNotifications) {
            while (!pendingNotifications.isEmpty() && batch.size() < batchSize) {
                batch.add(pendingNotifications.poll());
            }
        }
        
        if (!batch.isEmpty()) {
            processNotificationBatch(batch);
        }
    }
    

            final List<Tuple3<String, String, String>> taskList = new ArrayList<>();
            while (generating) {
                try {
                    final Tuple3<String, String, String> task = thumbnailTaskQueue.poll(thumbnailTaskQueueTimeout, TimeUnit.MILLISECONDS);
                    if (task == null) {
                        if (!taskList.isEmpty()) {
                            storeQueue(taskList);
                        }

   * in which it will attempt to cancel itself.
   *
   * <p>An example use of this method is to convert a serializable object returned from an RPC into
   * a POJO.
   *
   * <p>This method is similar to {@link java.util.concurrent.CompletableFuture#thenApply} and
   * {@link java.util.concurrent.CompletableFuture#thenApplyAsync}. It can also serve some of the

labels.q=Zapytanie
labels.roles=Role
labels.suggestSearchLog=Dziennik wyszukiwania sugestii
labels.suggestWord=Sugerowane słowo
labels.targetLabel=Etykieta
labels.term=Termin wyszukiwania
labels.fields=Pola
labels.ex_q=Rozszerzone zapytanie
labels.oldPassword=Bieżące hasło
labels.newPassword=Nowe hasło
labels.confirmNewPassword=Potwierdź nowe hasło

labels.menu_system=System
labels.menu_wizard=Kreator

                // for scenarios where the same file or directory is accessed multiple times
                log.trace("Tree handle released to connection pool for reuse");
                // The connection pool will handle cleanup based on its own timeout settings
            }
        }

        // Clear attribute cache only if we're doing strict cleanup

	}
	Scan(rows, tx, ScanInitialized)
	return tx.Error
}

// Connection uses a db connection to execute an arbitrary number of commands in fc. When finished, the connection is
// returned to the connection pool.
func (db *DB) Connection(fc func(tx *DB) error) (err error) {
	if db.Error != nil {
		return db.Error
	}

	tx := db.getInstance()
	sqlDB, err := tx.DB()
	if err != nil {
		return
	}