}

    String getCrawlerMetadataNameMapping();

    default Tuple3<String, String, String> getCrawlerMetadataNameMapping(final String name) {
        @SuppressWarnings("unchecked")
        Map<String, Tuple3<String, String, String>> params =
                (Map<String, Tuple3<String, String, String>>) propMap.get(CRAWLER_METADATA_NAME_MAPPING);
        if (params == null) {

#### Tupel und Menge { #tuple-and-set }

Das Gleiche gilt für die Deklaration eines Tupels – `tuple` – und einer Menge – `set`:

{* ../../docs_src/python_types/tutorial007_py39.py hl[1] *}

Das bedeutet:

* Die Variable `items_t` ist ein `tuple` mit 3 Elementen, einem `int`, einem weiteren `int` und einem `str`.

Did you notice? a string using `value.startswith()` can take a tuple, and it will check each value in the tuple:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### A Random Item { #a-random-item }

With `data.items()` we get an <abbr title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</abbr> with tuples containing the key and value for each dictionary item.

sequence_annotation_to_type = {
    Sequence: list,
    list: list,
    tuple: tuple,
    set: set,
    frozenset: frozenset,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

Url: type[Any]


# Copy of Pydantic v2, compatible with v1
def lenient_issubclass(
    cls: Any, class_or_tuple: Union[type[Any], tuple[type[Any], ...], None]
) -> bool:
    try:

    return named_session, session


BrokenSessionsDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_func_session)
]
NamedSessionsFuncDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_func_session, scope="function")
]

RegularSessionsDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_regular_func_session)
]

app = FastAPI()

    return named_session, session


BrokenSessionsDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_func_session)
]
NamedSessionsFuncDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_func_session, scope="function")
]

RegularSessionsDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_regular_func_session)
]

app = FastAPI()
router = APIRouter()

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Ein zufälliges Item { #a-random-item }

class ItemGroup(BaseModel):
    items: list[tuple[str, str]]


class Coordinate(BaseModel):
    x: float
    y: float


@app.post("/model-with-tuple/")
def post_model_with_tuple(item_group: ItemGroup):
    return item_group


@app.post("/tuple-of-models/")
def post_tuple_of_models(square: tuple[Coordinate, Coordinate]):
    return square


@app.post("/tuple-form/")

def _remap_definitions_and_field_mappings(
    *,
    model_name_map: ModelNameMap,
    definitions: dict[str, Any],
    field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ],
) -> tuple[
    dict[tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue],
    dict[str, Any],
]:
    old_name_to_new_name_map = {}

UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[Union[type[BaseModel], type[Enum]], str]
IncEx = Union[set[int], set[str], dict[int, Any], dict[str, Any]]