authors = {**experts_results.authors, **contributors_results.authors}
    maintainers_logins = {"tiangolo"}
    bot_names = {"codecov", "github-actions", "pre-commit-ci", "dependabot"}
    maintainers = []
    for login in maintainers_logins:
        user = authors[login]
        maintainers.append(
            {
                "login": login,

    dependency_cache = dependency_cache or {}
    sub_dependant: Dependant
    for sub_dependant in dependant.dependencies:
        sub_dependant.call = cast(Callable[..., Any], sub_dependant.call)
        sub_dependant.cache_key = cast(
            Tuple[Callable[..., Any], Tuple[str]], sub_dependant.cache_key
        )
        call = sub_dependant.call
        use_sub_dependant = sub_dependant
        if (

Aber so können wir uns besser auf die Funktionsweise des **Dependency Injection** Systems konzentrieren.

### Erstellen Sie eine Abhängigkeit (<abbr title="Das von dem abhängt, die zu verwendende Abhängigkeit">„Dependable“</abbr>)

Konzentrieren wir uns zunächst auf die Abhängigkeit - die Dependency.

Es handelt sich einfach um eine Funktion, die die gleichen Parameter entgegennimmt wie eine *Pfadoperation-Funktion*:
=== "Python 3.10+"

## First Steps

Let's see a very simple example. It will be so simple that it is not very useful, for now.

But this way we can focus on how the **Dependency Injection** system works.

### Create a dependency, or "dependable"

Let's first focus on the dependency.

It is just a function that can take all the same parameters that a *path operation function* can take:

=== "Python 3.10+"

    ```Python hl_lines="8-9"

            )
            parameters: List[Dict[str, Any]] = []
            flat_dependant = get_flat_dependant(route.dependant, skip_repeats=True)
            security_definitions, operation_security = get_openapi_security_definitions(
                flat_dependant=flat_dependant
            )
            if operation_security:
                operation.setdefault("security", []).extend(operation_security)

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example

In the previous example, we were returning a `dict` from our dependency ("dependable"):

=== "Python 3.10+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="11"

Bevor wir tiefer in das **Dependency Injection** System eintauchen, lassen Sie uns das vorherige Beispiel verbessern.

## Ein `dict` aus dem vorherigen Beispiel

Im vorherigen Beispiel haben wir ein `dict` von unserer Abhängigkeit („Dependable“) zurückgegeben:

=== "Python 3.10+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="11"

     * address, isPermanent, isBeingDeleted, ...etc. This information can only
     * be retrieved with the Node Status request.
     * 
     * The degree of state that an NbtAddress has is dependant on how it was
     * created and what is required of it. The second degree of state is the
     * most common. This is the state information that would be retrieved from

                    } else {
                        out[j++] = ch;
                    }
                    break;
                case 1:
                    /* Get ASCII hex value and convert to platform dependant
                     * encoding like EBCDIC perhaps
                     */
                    b[0] = (byte)(Integer.parseInt( str.substring( i, i + 2 ), 16 ) & 0xFF);

 * address, isPermanent, isBeingDeleted, ...etc. This information can only
 * be retrieved with the Node Status request.
 * 
 * The degree of state that an NbtAddress has is dependant on how it was
 * created and what is required of it. The second degree of state is the
 * most common. This is the state information that would be retrieved from