After checking all these things and ensuring the PR has the right labels, you can merge it.

## Dependabot PRs

Dependabot will create PRs to update dependencies for several things, and those PRs all look similar, but some are way more delicate than others.

    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,

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*:
//// tab | Python 3.10+

def get_flat_dependant(
    dependant: Dependant,
    *,
    skip_repeats: bool = False,
    visited: Optional[List[CacheKey]] = None,
) -> Dependant:
    if visited is None:
        visited = []
    visited.append(dependant.cache_key)

    flat_dependant = Dependant(
        path_params=dependant.path_params.copy(),
        query_params=dependant.query_params.copy(),

    *,
    dependant: Dependant,
    schema_generator: GenerateJsonSchema,
    model_name_map: ModelNameMap,
    field_mapping: Dict[
        Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ],
    separate_input_output_schemas: bool = True,
) -> List[Dict[str, Any]]:
    parameters = []
    flat_dependant = get_flat_dependant(dependant, skip_repeats=True)

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"):

//// tab | Python 3.10+

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

////

//// tab | 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:

//// tab | Python 3.10+

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

////

//// tab | 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