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

///

#### Using `list`s instead of `set`s { #using-lists-instead-of-sets }

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:

{* ../../docs_src/response_model/tutorial006_py310.py hl[29,35] *}

## Recap { #recap }

しかし、Pythonには型や「タイプパラメータ」を使ってリストを宣言する方法があります:

### typingの`List`をインポート

まず、Pythonの標準の`typing`モジュールから`List`をインポートします:

{* ../../docs_src/body_nested_models/tutorial002.py hl[1] *}

### タイプパラメータを持つ`List`の宣言

`list`や`dict`、`tuple`のようなタイプパラメータ（内部の型）を持つ型を宣言するには:

* `typing`モジュールからそれらをインストールします。
* 角括弧（`[`と`]`）を使って「タイプパラメータ」として内部の型を渡します:

```Python
from typing import List

my_list: List[str]
```

型宣言の標準的なPythonの構文はこれだけです。

/// tip | 豆知識

`{"name", "description"}`の構文はこれら２つの値をもつ`set`を作成します。

これは`set(["name", "description"])`と同等です。

///

#### `set`の代わりに`list`を使用する

もし`set`を使用することを忘れて、代わりに`list`や`tuple`を使用しても、FastAPIはそれを`set`に変換して正しく動作します:

{* ../../docs_src/response_model/tutorial006.py hl[31,37] *}

## まとめ

*path operationデコレータの*`response_model`パラメータを使用して、レスポンスモデルを定義し、特にプライベートデータがフィルタリングされていることを保証します。

Donc pour équilibrer tout ça, imaginez l'histoire suivante :

> Vous devez nettoyer une grande et sale maison.

*Oui, c'est toute l'histoire*.

---

Il n'y a plus d'attente 🕙 nulle part, juste beaucoup de travail à effectuer, dans différentes pièces de la maison.

Il a clairement inspiré Uvicorn et Starlette, qui sont actuellement plus rapides que Sanic dans les benchmarks.

///

/// check | A inspiré **FastAPI** à

Trouvez un moyen d'avoir une performance folle.

C'est pourquoi **FastAPI** est basé sur Starlette, car il s'agit du framework le plus rapide disponible (testé par des benchmarks tiers).

///

        and `audio_dataset_from_directory`, to be used with the
        `validation_split` argument, for returning both dataset splits at once,
        as a tuple.
    *   Added `tf.keras.utils.split_dataset` utility to split a `Dataset` object
        or a list/tuple of arrays into two `Dataset` objects (e.g. train/test).
    *   Added step granularity to `BackupAndRestore` callback for handling

In früheren Versionen von NodeJS / Browser JavaScript hätten Sie „Callbacks“ verwendet. Was zur "Callback-Hölle" führt.

## Coroutinen

2E9F          ; mapped                 ; 6BCD          # 3.0  CJK RADICAL MOTHER
2EA0..2EF2    ; valid                  ;      ; NV8    # 3.0  CJK RADICAL CIVILIAN..CJK RADICAL J-SIMPLIFIED TURTLE
2EF3          ; mapped                 ; 9F9F          # 3.0  CJK RADICAL C-SIMPLIFIED TURTLE
2EF4..2EFF    ; disallowed                             # NA   <reserved-2EF4>..<reserved-2EFF>
2F00          ; mapped                 ; 4E00          # 3.0  KANGXI RADICAL ONE

allbacks","object","_","flag","firing","memory","fired","locked","list","queue","firingIndex","fire","once","stopOnFalse","remove","disable","lock","fireWith","Deferred","func","tuples","state","always","deferred","catch","pipe","fns","newDefer","tuple","returned","progress","notify","onFulfilled","onRejected","onProgress","maxDepth","depth","handler","special","that","mightThrow","TypeError","notifyWith","resolveWith","process","exceptionHook","rejectWith","getErrorHook","getStackHook","setTime...

* ♻️ Refactor and simplify internal `analyze_param()` to structure data with dataclasses instead of tuple. PR [#12099](https://github.com/fastapi/fastapi/pull/12099) by [@tiangolo](https://github.com/tiangolo).