*            The fifth value
     * @return A tuple of five values
     */
    public static <T1, T2, T3, T4, T5> Tuple5<T1, T2, T3, T4, T5> tuple5(final T1 value1, final T2 value2, final T3 value3, final T4 value4,
            final T5 value5) {
        return new Tuple5<>(value1, value2, value3, value4, value5);
    }

    /**
     * Constructs an instance.
     */
    public Tuple5() {
    }

    /**

Ve yine, editör bunun bir `str` ​​olduğunu biliyor ve bunun için destek sağlıyor.

#### `Tuple` ve `Set`

`Tuple` ve `set`lerin tiplerini bildirmek için de aynısını yapıyoruz:

{* ../../docs_src/python_types/tutorial007.py hl[1,4] *}


Bu şu anlama geliyor:

* `items_t` değişkeni sırasıyla `int`, `int`, ve `str` tiplerinden oluşan bir `tuple` türündedir .
* `items_s` ise her öğesi `bytes` türünde olan bir `set` örneğidir.

        return defaultSettings;
    }

    private List<Tuple<String, Object>> defaultArraySettings() {
        final List<Tuple<String, Object>> tuples = new ArrayList<>();
        tuples.add(new Tuple<>(DefaultKeys.SUPPORTED_FIELDS, "content"));
        return tuples;
    }

    /**
     * Loads the index settings from a resource file.

#### 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()

def post_form_param_list(items: list = Form()):
    return items


@app.post("/form/python-set")
def post_form_param_set(items: set = Form()):
    return items


@app.post("/form/python-tuple")
def post_form_param_tuple(items: tuple = Form()):
    return items


client = TestClient(app)


def test_python_list_param_as_form():
    response = client.post(

    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 }