)
            # TODO: remove after dropping support for Python 3.8 and
            # setting the min Pydantic to v2.12.3 that adds asdict()
            field_dict = asdict(self.field_info)
            annotated_args = (
                field_dict["annotation"],
                *field_dict["metadata"],

    SecretStr: str,
    set: list,
    UUID: str,
    Url: str,
    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: dict[Any, Callable[[Any], Any]],
) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
    encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():

    items: list[dict[str, Any]]
    metadata: dict[str, Any]


class LargeOut(BaseModel):
    items: list[dict[str, Any]]
    metadata: dict[str, Any]


app = FastAPI()


@app.post("/sync/validated", response_model=ItemOut)
def sync_validated(item: ItemIn, dep: Annotated[int, Depends(dep_b)]):
    return ItemOut(name=item.name, value=item.value, dep=dep)


@app.get("/sync/dict-no-response-model")

        "bar": "bar",
        "bla": "bla",
    }


def test_custom_encoders():
    class safe_datetime(datetime):
        pass

    class MyDict(TypedDict):
        dt_field: safe_datetime

    instance = MyDict(dt_field=safe_datetime.now())

    encoded_instance = jsonable_encoder(
        instance, custom_encoder={safe_datetime: lambda o: o.strftime("%H:%M:%S")}
    )

    schemas: Optional[dict[str, Union[Schema, Reference]]] = None
    responses: Optional[dict[str, Union[Response, Reference]]] = None
    parameters: Optional[dict[str, Union[Parameter, Reference]]] = None
    examples: Optional[dict[str, Union[Example, Reference]]] = None
    requestBodies: Optional[dict[str, Union[RequestBody, Reference]]] = None
    headers: Optional[dict[str, Union[Header, Reference]]] = None

    operation_ids: set[str],
    model_name_map: ModelNameMap,
    field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], dict[str, Any]
    ],
    separate_input_output_schemas: bool = True,
) -> tuple[dict[str, Any], dict[str, Any], dict[str, Any]]:
    path = {}
    security_schemes: dict[str, Any] = {}
    definitions: dict[str, Any] = {}
    assert route.methods is not None, "Methods must be a list"

    return operation_id


def deep_dict_update(main_dict: dict[Any, Any], update_dict: dict[Any, Any]) -> None:
    for key, value in update_dict.items():
        if (
            key in main_dict
            and isinstance(main_dict[key], dict)
            and isinstance(value, dict)
        ):
            deep_dict_update(main_dict[key], value)
        elif (

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Ein `dict` entpacken { #unpacking-a-dict }

                "although still supported. Use examples instead."
            ),
        ] = _Unset,
        openapi_examples: Optional[dict[str, Example]] = None,
        deprecated: Union[deprecated, str, bool, None] = None,
        include_in_schema: bool = True,
        json_schema_extra: Union[dict[str, Any], None] = None,
        **extra: Any,
    ):
        if example is not _Unset:
            warnings.warn(

    return values


async def request_body_to_args(
    body_fields: list[ModelField],
    received_body: Optional[Union[dict[str, Any], FormData]],
    embed_body_fields: bool,
) -> tuple[dict[str, Any], list[dict[str, Any]]]:
    values: dict[str, Any] = {}
    errors: list[dict[str, Any]] = []
    assert body_fields, "request_body_to_args() should be called with fields"