* are broken arbitrarily.
   *
   * <p>For example:
   *
   * {@snippet :
   * Stream.of("foo", "quux", "banana", "elephant")
   *     .collect(greatest(2, comparingInt(String::length)))
   * // returns {"elephant", "banana"}
   * }
   *
   * <p>This {@code Collector} uses O(k) memory and takes expected time O(n) (worst-case O(n log

   * are broken arbitrarily.
   *
   * <p>For example:
   *
   * {@snippet :
   * Stream.of("foo", "quux", "banana", "elephant")
   *     .collect(greatest(2, comparingInt(String::length)))
   * // returns {"elephant", "banana"}
   * }
   *
   * <p>This {@code Collector} uses O(k) memory and takes expected time O(n) (worst-case O(n log

                        mapEntry(Range.closedOpen(3, 5), "frisbee"),
                        mapEntry(Range.atMost(-1), "fruitcake"),
                        mapEntry(Range.open(10, 15), "elephant"),
                        mapEntry(Range.closed(20, 22), "umbrella"));
                  }

                  @Override
                  public Map<Range<Integer>, String> create(Object... elements) {

    val stream = connection.newStream(headerEntries("b", "banana"), true)
    val out = stream.sink.buffer()
    out.writeUtf8("c3po")
    out.close()
    stream.writeHeaders(headerEntries("e", "elephant"), false, false)
    connection.writePingAndAwaitPong()
    assertThat(connection.openStreamCount()).isEqualTo(0)

    // Verify the peer received what was expected.
    val synStream = peer.takeFrame()

        assertEquals("simple", themeName);
    }

    @Test
    public void test_getThemeName_multiPart() {
        Artifact artifact = new Artifact("fess-theme-elegant-modern", "1.0.0");
        String themeName = themeHelper.getThemeName(artifact);
        assertEquals("elegant-modern", themeName);
    }

    @Test
    public void test_getThemeName_emptyName() {
        try {

///

## Zusammenfassung { #recap }

Mit **FastAPI** haben Sie die maximale Flexibilität von Pydantic-Modellen, während Ihr Code einfach, kurz und elegant bleibt.

Aber mit all den Vorzügen:

* Editor-Unterstützung (Codevervollständigung überall)
* Datenkonvertierung (auch bekannt als Parsen, Serialisierung)
* Datenvalidierung
* Schema-Dokumentation

///

## Récapitulatif { #recap }

Avec FastAPI, vous bénéficiez de la flexibilité maximale fournie par les modèles Pydantic, tout en gardant votre code simple, concis et élégant.

Mais avec tous les avantages :

- Prise en charge par l'éditeur (autocomplétion partout !)
- Conversion des données (a.k.a. parsing / sérialisation)
- Validation des données
- Documentation des schémas

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

  `Only a thimble,' said Alice sadly.

  `Hand it over here,' said the Dodo.

  Then they all crowded round her once more, while the Dodo
solemnly presented the thimble, saying `We beg your acceptance of
this elegant thimble'; and, when it had finished this short
speech, they all cheered.

  Alice thought the whole thing very absurd, but they all looked
so grave that she did not dare to laugh; and, as she could not

  `Only a thimble,' said Alice sadly.

  `Hand it over here,' said the Dodo.

  Then they all crowded round her once more, while the Dodo
solemnly presented the thimble, saying `We beg your acceptance of
this elegant thimble'; and, when it had finished this short
speech, they all cheered.

  Alice thought the whole thing very absurd, but they all looked
so grave that she did not dare to laugh; and, as she could not