Зверніть увагу, що змінна `item` є одним із елементів у списку `items`.

І все ж редактор знає, що це `str`, і надає підтримку для цього.

#### Tuple and Set (кортеж та набір)

Ви повинні зробити те ж саме, щоб оголосити `tuple` і `set`:

=== "Python 3.8 і вище"

    ```Python hl_lines="1  4"
    {!> ../../../docs_src/python_types/tutorial007.py!}
    ```

=== "Python 3.9 і вище"

    It is equivalent to `set(["name", "description"])`.

#### Using `list`s instead of `set`s

If you forget to use a `set` and use a `list` or `tuple` instead, FastAPI will still convert it to a `set` and it will work correctly:

=== "Python 3.10+"

    ```Python hl_lines="29  35"
    {!> ../../../docs_src/response_model/tutorial006_py310.py!}
    ```

Notice that the variable `item` is one of the elements in the list `items`.

And still, the editor knows it is a `str`, and provides support for that.

#### Tuple and Set

You would do the same to declare `tuple`s and `set`s:

=== "Python 3.9+"

    ```Python hl_lines="1"
    {!> ../../../docs_src/python_types/tutorial007_py39.py!}
    ```

=== "Python 3.8+"

* 📝 Tweak and improve docs for Request Files. PR [#4470](https://github.com/tiangolo/fastapi/pull/4470) by [@tiangolo](https://github.com/tiangolo).

### Fixes

* 🐛 Fix bug preventing to use OpenAPI when using tuples. PR [#3874](https://github.com/tiangolo/fastapi/pull/3874) by [@victorbenichoux](https://github.com/victorbenichoux).

#### 🔢 & ⚒

👆 🔜 🎏 📣 `tuple`Ⓜ & `set`Ⓜ:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="1  4"
    {!> ../../../docs_src/python_types/tutorial007.py!}
    ```

=== "🐍 3️⃣.9️⃣ & 🔛"

    ```Python hl_lines="1"
    {!> ../../../docs_src/python_types/tutorial007_py39.py!}
    ```

👉 ⛓:

* 🔢 `items_t` `tuple` ⏮️ 3️⃣ 🏬, `int`, ➕1️⃣ `int`, & `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():
        encoders_by_class_tuples[encoder] += (type_,)
    return encoders_by_class_tuples

    dependentSchemas: Optional[Dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[List["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generales a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", List["SchemaOrBool"]]] = None
    contains: Optional["SchemaOrBool"] = None

#### `Tuple` ve `Set`

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

```Python hl_lines="1  4"
{!../../../docs_src/python_types/tutorial007.py!}
```

Bu şu anlama geliyor:

* `items_t` değişkeni sırasıyla `int`, `int`, ve `str` tiplerinden oluşan bir `tuple` türündedir .

    operation_ids: Set[str],
    schema_generator: GenerateJsonSchema,
    model_name_map: ModelNameMap,
    field_mapping: Dict[
        Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ],
    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] = {}

sequence_annotation_to_type = {
    Sequence: list,
    List: list,
    list: list,
    Tuple: tuple,
    tuple: tuple,
    Set: set,
    set: set,
    FrozenSet: frozenset,
    frozenset: frozenset,
    Deque: deque,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

if PYDANTIC_V2: