List<Range<C>> asRanges = ImmutableList.copyOf(rangeSet.asRanges());

    // test that connected ranges are coalesced
    for (int i = 0; i + 1 < asRanges.size(); i++) {
      Range<C> range1 = asRanges.get(i);
      Range<C> range2 = asRanges.get(i + 1);
      assertFalse(range1.isConnected(range2));
    }

    // test that there are no empty ranges

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positiveDoubles[i] = randomPositiveDouble();
      doubles[i] = randomDouble(Long.SIZE);
      factorials[i] = RANDOM_SOURCE.nextInt(100);
    }
  }

  @Benchmark
  long log2(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

{* ../../docs_src/response_model/tutorial003_02_py39.py hl[8,10:11] *}

Este caso simple es manejado automáticamente por FastAPI porque la anotación del tipo de retorno es la clase (o una subclase de) `Response`.

          <version>1.1.0+</version>
          <description>
            A version range which specifies the supported Java versions. A version range can either use the usual mathematical syntax "[2.0.10,2.1.0),[3.0,)" or use a single version "2.2.1". The latter is a short form for "[2.2.1,)", i.e. denotes the minimum version required.
            @since Maven 4.0.0-alpha-3
          </description>
          <type>String</type>
        </field>

        }

        if (_specification != null) {
            builder.setFetchSource(_specification.columnList.toArray(new String[_specification.columnList.size()]), null);
        }

        return builder;
    }

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

        }

        if (_specification != null) {
            builder.setFetchSource(_specification.columnList.toArray(new String[_specification.columnList.size()]), null);
        }

        return builder;
    }

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

        transfers.put(
                new TransferResourceIdentifier(resource),
                new TransferResourceAndSize(resource, event.getTransferredBytes()));

        buffer.append("Progress (").append(transfers.size()).append("): ");

        Iterator<TransferResourceAndSize> entries = transfers.values().iterator();
        while (entries.hasNext()) {
            TransferResourceAndSize entry = entries.next();

                // we are already visiting this vertex, this mean we have a cycle
                int pos = cycle.lastIndexOf(v.label);
                List<String> ret = cycle.subList(pos, cycle.size());
                ret.add(v.label);
                return ret;
            }
        }
        return null;
    }

    static class Vertex {
        final String label;

///

## Resumen { #recap }

Con **FastAPI** tienes la máxima flexibilidad proporcionada por los modelos Pydantic, manteniendo tu código simple, corto y elegante.

Pero con todos los beneficios:

* Soporte de editor (¡autocompletado en todas partes!)
* Conversión de datos (también conocido como parsing/serialización)
* Validación de datos

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[20:37,39:40] *}

Dans cet exemple, nous n'avons déclaré aucun modèle Pydantic. En fait, le corps de la requête n'est même pas <abbr title="converti d'un format simple, comme des octets, en objets Python">parsé</abbr> en tant que JSON, il est lu directement en tant que `bytes`, et la fonction `magic_data_reader()` serait chargé de l'analyser d'une manière ou d'une autre.