Por exemplo, `dependency_c` pode depender de `dependency_b`, e `dependency_b` depender de `dependency_a`:

//// tab | python 3.9+

```python hl_lines="6  14  22"
{!> ../../docs_src/dependencies/tutorial008_an_py39.py!}
```

////

//// tab | python 3.8+

```python hl_lines="5  13  21"

이를 위해 표준 Python의 `typing.List`를 사용하세요(또는 Python 3.9 이상에서는 단순히 `list`를 사용할 수 있습니다):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}


## 임의의 `dict` 응답

Pydantic 모델을 사용하지 않고, 키와 값의 타입만 선언하여 평범한 임의의 `dict`로 응답을 선언할 수도 있습니다.

이는 Pydantic 모델에 필요한 유효한 필드/속성 이름을 사전에 알 수 없는 경우에 유용합니다.

이 경우, `typing.Dict`를 사용할 수 있습니다(또는 Python 3.9 이상에서는 단순히 `dict`를 사용할 수 있습니다):

//// tab | Python 3.10+

В Python 3.9 или выше, `Annotated` является частью стандартной библиотеки, таким образом вы можете импортировать его из `typing`.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.8+

В версиях Python ниже Python 3.9 `Annotation` импортируется из `typing_extensions`.

//// tab | Python 3.10+

In Python 3.9 oder darüber, ist `Annotated` Teil der Standardbibliothek, also können Sie es von `typing` importieren.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.8+

In Versionen unter Python 3.9 importieren Sie `Annotated` von `typing_extensions`.

        + "'round':4,"
        + "'lastSaved':1367702411696,"
        + "'dateStarted':1367702378785,"
        + "'players':["
        + "{'name':'" + player1 + "','history':[10,8,6,7,8],'color':-13388315,'total':39},"
        + "{'name':'" + player2 + "','history':[6,10,5,10,10],'color':-48060,'total':41}"
        + "]}";
  }

  public static void main(String[] args) throws IOException {
    PostExample example = new PostExample();

## Lista de modelos

Da mesma forma, você pode declarar respostas de listas de objetos.

Para isso, use o padrão Python `typing.List` (ou simplesmente `list` no Python 3.9 e superior):

{* ../../docs_src/extra_models/tutorial004.py hl[1,20] *}

## Resposta com `dict` arbitrário

    weakHashLength32WithSeeds(bytes, offset + length - 64, length, y, v);
    weakHashLength32WithSeeds(bytes, offset + length - 32, length * K1, K0, w);
    z += shiftMix(v[1]) * K1;
    x = rotateRight(z + x, 39) * K1;
    y = rotateRight(y, 33) * K1;

    // Decrease length to the nearest multiple of 64, and operate on 64-byte chunks.
    length = (length - 1) & ~63;
    do {

//// tab | Python 3.10+

En Python 3.9 o superior, `Annotated` es parte de la biblioteca estándar, así que puedes importarlo desde `typing`.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.8+

En versiones de Python por debajo de 3.9 importas `Annotated` desde `typing_extensions`.

⚙️ 💾 📦 ✔️ 📚 📈 ✅ **💂‍♂**, **🔬**, **🦁**, & 🎏.

/// tip

🏃 & ⏪ 💭 👉 💩 ❓ 🦘 [`Dockerfile` 🔛 👶](#fastapi).

///

<details>
<summary>📁 🎮 👶</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

      + "O1KzKtvn1ISMY/YPyyYBkVBs9F8U4pN0wBOeMDpQ47RgxRzwIkSNcUesyBrJ6Zua\n"
      + "AGAT/3B+XxFNSRuzFVJ7yVTav52Vr2ua2J7p8eRDjeIRRDq/r72DQnNSi6q7pynP\n"
      + "9WQcCk3RvKqsnyrQ/39/2n3qse0wJcGE2jTSW3iDVuycNsMm4hH2Z0kdkquM++v/\n"
      + "eu6FSqdQgPCnXEqULl8FmTxSQeDNtGPPAUO6nIPcj2A781q0tHuu2guQOHXvgR1m\n"
      + "0vdXcDazv/wor3ElhVsT/h5/WrQ8\n"
      + "-----END CERTIFICATE-----\n");