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);
    }

    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);
    }

    public void test_getThemeName_emptyName() {
        try {
            Artifact artifact = new Artifact("fess-theme", "1.0.0");

///

## 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

---

"_Honnêtement, ce que vous avez construit a l'air super solide et élégant. A bien des égards, c'est comme ça que je voulais que **Hug** soit - c'est vraiment inspirant de voir quelqu'un construire ça._"