} finally {
      exceptionLogger.removeHandler(listenerLoggerHandler);
    }
  }

  private static void doTestSuccessfulAsListResultCancelledRacingInputDone() throws Exception {
    // Simple (combined.cancel -> input.cancel -> setOneValue):
    successfulAsList(ImmutableList.of(SettableFuture.create())).cancel(true);

    /*
     * Complex (combined.cancel -> input.cancel -> other.set -> setOneValue),

    } finally {
      exceptionLogger.removeHandler(listenerLoggerHandler);
    }
  }

  private static void doTestSuccessfulAsListResultCancelledRacingInputDone() throws Exception {
    // Simple (combined.cancel -> input.cancel -> setOneValue):
    successfulAsList(ImmutableList.of(SettableFuture.create())).cancel(true);

    /*
     * Complex (combined.cancel -> input.cancel -> other.set -> setOneValue),

Luego asignamos esos dos valores de la tupla a las variables `id` y `name`.

Así, si el usuario no proporcionó un ID de ítem, aún recibirá una sugerencia aleatoria.

...hacemos todo esto en una sola línea simple. 🤯 ¿No te encanta Python? 🐍

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[22:30] hl[29] *}

## Recapitulación { #recap }

- **Federation**
  - [alpha] Creating a `Federated Ingress` is as simple as submitting
    an `Ingress` creation request to the Federation API Server. The
    Federation control system then creates and maintains a single
    global virtual IP to load balance incoming HTTP(S) traffic across
    some or all the registered clusters, across all regions. Google's

$ python main.py

I solemnly swear 🐺
```

</div>

## Alternativas { #alternatives }

Esta es una guía simple para comenzar y enseñarte cómo funciona todo **por debajo**.

Hay muchas **alternativas** para gestionar entornos virtuales, dependencias de paquetes (requisitos), proyectos.

- Fixed a bug in the single-numa-policy of the TopologyManager. Previously, best-effort pods would result in a terminated state with a TopologyAffinity error. Now they will run as expected. ([#83777](https://github.com/kubernetes/kubernetes/pull/83777), [@lmdaly](https://github.com/lmdaly))

"matchesSelector","attr","attrHandle","uniqueSort","duplicates","sortStable","createPseudo","relative",">"," ","+","~","preFilter","excess","unquoted","nodeNameSelector","expectedNodeName","pattern","operator","check","result","what","_argument","simple","forward","ofType","_context","xml","outerCache","nodeIndex","start","parent","useCache","diff","firstChild","lastChild","pseudo","args","setFilters","idx","matched","not","matcher","compile","unmatched","has","lang","elemLang","hash","location"...

Pero también puedes explotar los beneficios del paralelismo y la multiprocesamiento (tener múltiples procesos ejecutándose en paralelo) para cargas de trabajo **CPU bound** como las de los sistemas de Machine Learning.

Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).

.select2-container--default {\n  font-size: 75%;\n}\n\n.text-sm .select2-container--default .select2-selection--single,\nselect.form-control-sm ~ .select2-container--default .select2-selection--single {\n  height: calc(1.8125rem + 2px);\n}\n\n.text-sm .select2-container--default .select2-selection--single .select2-selection__rendered,\nselect.form-control-sm ~ .select2-container--default .select2-selection--single .select2-selection__rendered {\n  margin-top: -.4rem;\n}\n\n.text-sm .select2-container--default ...

<!--
  | Improvements:
  |
  | o add specification element to a field, this would be more a technical description of
  |   what is allowed in the field.
  |
  | o validators: there could be several levels of validation. Simple type validation could
  |   be done with a regex, but we need inter-field validation and rules which could be
  |   dealt with by something like drools.
  |