* `Body()`
* `Form()`
* `File()`

The keys of the `dict` identify each example, and each value is another `dict`.

Each specific example `dict` in the `examples` can contain:

* `summary`: Short description for the example.
* `description`: A long description that can contain Markdown text.
* `value`: This is the actual example shown, e.g. a `dict`.

Par défaut, **FastAPI** convertirait automatiquement cette valeur de retour en JSON en utilisant le `jsonable_encoder` expliqué dans [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

        summary: Optional[str] = None,
        description: Optional[str] = None,
        response_description: str = "Successful Response",
        responses: Optional[dict[Union[int, str], dict[str, Any]]] = None,
        deprecated: Optional[bool] = None,
        name: Optional[str] = None,
        methods: Optional[Union[set[str], list[str]]] = None,
        operation_id: Optional[str] = None,

):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return commons


@app.get("/users/")
async def read_users(commons: Annotated[dict, Depends(common_parameters)]):

Mas você também não precisa se preocupar com eles, os dicts de entrada são convertidos automaticamente e sua saída é convertida automaticamente para JSON também.

## Corpos de `dict`s arbitrários { #bodies-of-arbitrary-dicts }

Você também pode declarar um corpo como um `dict` com chaves de algum tipo e valores de outro tipo.

しかし、このガイドでは、それらがどのように使用されることを意図しているかを多かれ少なかれ、示しています。

///

### Pydanticの`exclude_unset`パラメータの使用

部分的な更新を受け取りたい場合は、Pydanticモデルの`.dict()`の`exclude_unset`パラメータを使用すると非常に便利です。

`item.dict(exclude_unset=True)`のように。

これにより、`item`モデルの作成時に設定されたデータのみを持つ`dict`が生成され、デフォルト値は除外されます。

これを使うことで、デフォルト値を省略して、設定された（リクエストで送られた）データのみを含む`dict`を生成することができます:

{* ../../docs_src/body_updates/tutorial002.py hl[34] *}

### Pydanticの`update`パラメータ

        @app.get("/items/")
        def read_items(q: dict[str, Item] = Query(default=None)):
            pass  # pragma: no cover


def test_invalid_simple_dict():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: Optional[dict] = Query(default=None)):

#### Dict { #dict }

To define a `dict`, you pass 2 type parameters, separated by commas.

The first type parameter is for the keys of the `dict`.

The second type parameter is for the values of the `dict`:

{* ../../docs_src/python_types/tutorial008_py39.py hl[1] *}

This means:

* The variable `prices` is a `dict`:

    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():