Dummy sneaky = map.putIfAbsent(sample, Dummy.VALUE);
        if (sneaky == null) {
          return sample;
        } else {
          /* Someone beat us to it! Trying again...
           *
           * Technically this loop not guaranteed to terminate, so theoretically (extremely
           * unlikely) this thread might starve, but even then, there is always going to be another
           * thread doing progress here.
           */

   * Returns a {@link ScheduledExecutorService} that never executes anything.
   *
   * <p>The {@code shutdownNow} method of the returned executor always returns an empty list despite
   * the fact that everything is still technically awaiting execution. The {@code getDelay} method
   * of any {@link ScheduledFuture} returned by the executor will always return the max long value
   * instead of the time until the user-specified delay.
   */

        Dummy sneaky = map.putIfAbsent(sample, Dummy.VALUE);
        if (sneaky == null) {
          return sample;
        } else {
          /* Someone beat us to it! Trying again...
           *
           * Technically this loop not guaranteed to terminate, so theoretically (extremely
           * unlikely) this thread might starve, but even then, there is always going to be another
           * thread doing progress here.
           */

* Guardar los datos en tu base de datos.
* Devolver el modelo actualizado.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[28:35] *}

/// tip | Consejo

Puedes realmente usar esta misma técnica con una operación HTTP `PUT`.

Pero el ejemplo aquí usa `PATCH` porque fue creado para estos casos de uso.

///

/// note | Nota

Observa que el modelo de entrada sigue siendo validado.

Es posible que desees tener algunos responses predefinidos que se apliquen a muchas *path operations*, pero que quieras combinarlos con responses personalizados necesarios por cada *path operation*.

Para esos casos, puedes usar la técnica de Python de "desempaquetar" un `dict` con `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}

     * hashes (meaning negotiated via NTLM HTTP Authentication) and the other does not they will not be equal. This is
     * technically not correct however the server 8 byte challenge would be required to compute and compare the password
     * hashes but that it not available with this method.
     */
    @Override

* Salvar os dados no seu banco de dados.
* Retornar o modelo atualizado.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[28:35] *}

/// tip | Dica

Você pode realmente usar essa mesma técnica com uma operação HTTP `PUT`.

Mas o exemplo aqui usa `PATCH` porque foi criado para esses casos de uso.

///

/// note | Nota

Observe que o modelo de entrada ainda é validado.

      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

Y las llamadas al cliente también son llamadas normales, sin usar `await`.

Esto te permite usar `pytest` directamente sin complicaciones.

///

/// note | Nota Técnica

También podrías usar `from starlette.testclient import TestClient`.

      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.