}

func funcTypeTypeParams(n *ast.FuncType) *ast.FieldList {
	return n.TypeParams
}

func typeSpecTypeParams(n *ast.TypeSpec) *ast.FieldList {
	return n.TypeParams

	var listSTSKeys, listServiceAccounts bool
	switch listType {
	case madmin.AccessKeyListUsersOnly:
		listSTSKeys = false
		listServiceAccounts = false
	case madmin.AccessKeyListSTSOnly:
		listSTSKeys = true
		listServiceAccounts = false
	case madmin.AccessKeyListSvcaccOnly:
		listSTSKeys = false
		listServiceAccounts = true
	case madmin.AccessKeyListAll:
		listSTSKeys = true
		listServiceAccounts = true

```

will run.

---

This won't happen if you import that module (file).

So, if you have another file `importer.py` with:

```Python
from myapp import app

# Some more code
```

in that case, the automatically created variable inside of `myapp.py` will not have the variable `__name__` with a value of `"__main__"`.

So, the line:

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

#### "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

    Supplier<Boolean> supplier =
        new Supplier<Boolean>() {
          boolean isWaiting(Thread thread) {
            switch (thread.getState()) {
              case BLOCKED:
              case WAITING:
              case TIMED_WAITING:
                return true;
              default:
                return false;
            }
          }

          int waitingThreads() {

        int c = -1;
        boolean eol = false;

        while (!eol) {
            switch (c = read()) {
            case -1:
            case '\n':
                eol = true;
                break;
            case '\r':
                eol = true;
                final long cur = fp;
                if (read() != '\n') {
                    fp = cur;
                }

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: