try:
        return v2.ModelField(**kwargs)  # type: ignore[return-value,arg-type]
    except PydanticSchemaGenerationError:
        raise fastapi.exceptions.FastAPIError(
            _invalid_args_message.format(type_=type_)
        ) from None


def create_cloned_field(
    field: ModelField,
    *,
    cloned_types: Optional[MutableMapping[type[BaseModel], type[BaseModel]]] = None,
) -> ModelField:
    return field

    return BodyModel


def get_model_fields(model: type[BaseModel]) -> list[ModelField]:
    model_fields: list[ModelField] = []
    for name, field_info in model.model_fields.items():
        type_ = field_info.annotation
        if lenient_issubclass(type_, (BaseModel, dict)) or is_dataclass(type_):
            model_config = None
        else:

    return values, errors


def is_union_of_base_models(field_type: Any) -> bool:
    """Check if field type is a Union where all members are BaseModel subclasses."""
    from fastapi.types import UnionType

    origin = get_origin(field_type)

    # Check if it's a Union type (covers both typing.Union and types.UnionType in Python 3.10+)
    if origin is not Union and origin is not UnionType:
        return False

class SecurityBase(BaseModelWithConfig):
    type_: SecuritySchemeType = Field(alias="type")
    description: Optional[str] = None


class APIKeyIn(Enum):
    query = "query"
    header = "header"
    cookie = "cookie"


class APIKey(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type")
    in_: APIKeyIn = Field(alias="in")
    name: str

) -> 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():
        encoders_by_class_tuples[encoder] += (type_,)
    return encoders_by_class_tuples


encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE)


def jsonable_encoder(

    "title": "ValidationError",
    "type": "object",
    "properties": {
        "loc": {
            "title": "Location",
            "type": "array",
            "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
        },
        "msg": {"title": "Message", "type": "string"},
        "type": {"title": "Error Type", "type": "string"},
    },
    "required": ["loc", "msg", "type"],
}

                        content_type_value = request.headers.get("content-type")
                        if not content_type_value:
                            json_body = await request.json()
                        else:
                            message = email.message.Message()
                            message["content-type"] = content_type_value

 * <p>
 * Example usage:
 * <pre>
 * {@literal @}Typed(ServiceImpl.class)
 * public class ServiceImpl implements Service {
 *     // Implementation
 * }
 * </pre>
 *
 * @since 4.0.0
 */
@Target({FIELD, METHOD, TYPE})
@Retention(RUNTIME)
@Documented
public @interface Typed {
    /**
     * Specifies the types that should be considered for dependency injection.
     * <p>

        String password = "testpassword";

        // When
        Type3Message type3 = new Type3Message(createMockContext(), type2, null, password, "DOMAIN", "user", "WORKSTATION",
                NtlmFlags.NTLMSSP_NEGOTIATE_NTLM);

        // Then
        assertNotNull(type3.getLMResponse());
        assertNotNull(type3.getNTResponse());
        assertTrue(type3.getLMResponse().length > 0);

Diese Typen mit inneren Typen werden „**generische**“ Typen genannt. Es ist möglich, sie mit ihren inneren Typen zu deklarieren.

Um diese Typen und die inneren Typen zu deklarieren, können Sie Pythons Standardmodul `typing` verwenden. Es existiert speziell für die Unterstützung dieser Typhinweise.

#### Neuere Python-Versionen { #newer-versions-of-python }