#### "Schema" { #schema }

A "schema" is a definition or description of something. Not the code that implements it, but just an abstract description.

#### API "schema" { #api-schema }

In this case, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> is a specification that dictates how to define a schema of your API.

  ) {
    val latch = CountDownLatch(1)
    val startNanos = AtomicLong()
    newWebSocket(
      "/runCase?case=$number&agent=okhttp",
      object : WebSocketListener() {
        override fun onOpen(
          webSocket: WebSocket,
          response: Response,
        ) {
          println("Executing test case $number/$count")
          startNanos.set(System.nanoTime())
        }

        override fun onMessage(

        }

        switch (preference.toLowerCase()) {
        case "disni":
            RdmaProvider disniProvider = new DisniRdmaProvider();
            if (disniProvider.isAvailable()) {
                return disniProvider;
            }
            log.warn("DiSNI RDMA provider requested but not available");
            break;

        case "tcp":
            return new TcpRdmaProvider();

        default:

     * The returned list of versions is only dependent on the configured repositories and their contents.
     * The supplied request may also refer to a single concrete version rather than a version range.
     * In this case though, the result contains simply the (parsed) input version, regardless of the
     * repositories and their contents.
     *
     * @param session the session to use
     * @param artifactCoordinates t

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

        @Test
        @DisplayName("Should handle empty buffer in readDataWireFormat")
        void testReadDataWireFormatEmptyBuffer() {
            byte[] buffer = new byte[0];

            // Empty buffer causes ArrayIndexOutOfBoundsException when trying to read
            assertThrows(ArrayIndexOutOfBoundsException.class, () -> {
                response.readDataWireFormat(buffer, 0, 0);
            });
        }

	//    a. version id is specified, remove its remote object.
	//    b. version id is not specified, nothing to be done (a delete marker is added).
	delTier := false
	switch {
	case !os.Versioned, os.Suspended: // 1, 2.a, 2.b
		delTier = true
	case os.Versioned && os.VersionID != "": // 3.a
		delTier = true
	}
	if delTier {
		return jentry{
			ObjName:   os.RemoteObject,
			VersionID: os.TransitionVersionID,

        )
	)
	
    IF "x!params!" NEQ "x" (
		GOTO loop
	)
)

SET HOSTNAME=%COMPUTERNAME%

CALL "%~dp0fess.in.bat"
IF ERRORLEVEL 1 (
	IF NOT DEFINED nopauseonerror (
		PAUSE
	)
	EXIT /B %ERRORLEVEL%
)

"%JAVA_HOME%\bin\java" %FESS_JAVA_OPTS% !newparams! -cp "%FESS_CLASSPATH%" "org.codelibs.fess.FessBoot"

    ImmutableList<E> list = asList;
    return (list == null) ? (asList = createAsList()) : list;
  }

  ImmutableList<E> createAsList() {
    switch (size()) {
      case 0:
        return ImmutableList.of();
      case 1:
        return ImmutableList.of(iterator().next());
      default:
        return new RegularImmutableAsList<E>(this, toArray());
    }
  }

The contents that you return from your *path operation function* will be put inside of that `Response`.

And if that `Response` has a JSON media type (`application/json`), like is the case with the `JSONResponse` and `UJSONResponse`, the data you return will be automatically converted (and filtered) with any Pydantic `response_model` that you declared in the *path operation decorator*.

/// note