And we know that editors can't provide a lot of support (like completion) for `dict`s, because they can't know their keys and value types.

We can do better...

## What makes a dependency { #what-makes-a-dependency }

Up to now you have seen dependencies declared as functions.

{* ../../docs_src/path_params_numeric_validations/tutorial003.py hl[7] *}

### Besser mit `Annotated`

Bedenken Sie, dass Sie, wenn Sie `Annotated` verwenden, dieses Problem nicht haben, weil Sie keine Defaultwerte für Ihre Funktionsparameter haben. Sie müssen daher wahrscheinlich auch nicht `*` verwenden.

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

        if (offset + SIGNATURE_OFFSET + SIGNATURE_LENGTH > data.length) {
            throw new IllegalArgumentException("Signature field exceeds data buffer size");
        }

        // Use fine-grained locking for better concurrency
        this.signingLock.lock();
        try {
            if (this.closed) {
                throw new IllegalStateException("SigningDigest is closed");
            }

If you're in a tricky situation and prepared to deal with the consequences, rewriting response headers is a powerful way to work around problems. For example, you can fix a server's misconfigured `Cache-Control` response header to enable better response caching:

```java
/** Dangerous interceptor that rewrites the server's cache-control header. */
private static final Interceptor REWRITE_CACHE_CONTROL_INTERCEPTOR = new Interceptor() {

The following example shows how to get the details of the user with `{userid}` from `{realm}` realm:

```
curl \
  -H "Authorization: Bearer eyJhbGciOiJSUz..." \
  "http://localhost:8080/auth/admin/realms/{realm}/users/{userid}"
```

### Configure MinIO

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server /mnt/export

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

Wenn Sie für drei Server bezahlen, aber nur wenig von deren RAM und CPU nutzen, **verschwenden Sie wahrscheinlich Geld** 💸 und wahrscheinlich **Strom für den Server** 🌎, usw.

In diesem Fall könnte es besser sein, nur zwei Server zu haben und einen höheren Prozentsatz von deren Ressourcen zu nutzen (CPU, Arbeitsspeicher, Festplatte, Netzwerkbandbreite, usw.).

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