Таким же образом вы можете определять ответы как списки объектов.

Для этого используйте `typing.List` из стандартной библиотеки Python (или просто `list` в Python 3.9 и выше):

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

## Ответ с произвольным `dict` { #response-with-arbitrary-dict }

We could download the OpenAPI JSON to a file `openapi.json` and then we could **remove that prefixed tag** with a script like this:

{* ../../docs_src/generate_clients/tutorial004_py39.py *}

//// tab | Node.js

```Javascript
{!> ../../docs_src/generate_clients/tutorial004.js!}
```

////

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_py39.py hl[18] *}

## Resposta com `dict` arbitrário { #response-with-arbitrary-dict }

{* ../../docs_src/python_types/tutorial003_py39.py hl[1] *}

Because the editor knows the types of the variables, you don't only get completion, you also get error checks:

<img src="/img/python-types/image04.png">

Now you know that you have to fix it, convert `age` to a string with `str(age)`:

{* ../../docs_src/python_types/tutorial004_py39.py hl[2] *}

## Declaring types { #declaring-types }

{* ../../docs_src/path_params/tutorial005_py39.py hl[17] *}

#### Get the *enumeration value* { #get-the-enumeration-value }

You can get the actual value (a `str` in this case) using `model_name.value`, or in general, `your_enum_member.value`:

{* ../../docs_src/path_params/tutorial005_py39.py hl[20] *}

/// tip

{* ../../docs_src/path_params/tutorial005_py39.py hl[17] *}

#### Obtener el valor de *enumeración* { #get-the-enumeration-value }

Puedes obtener el valor actual (un `str` en este caso) usando `model_name.value`, o en general, `your_enum_member.value`:

{* ../../docs_src/path_params/tutorial005_py39.py hl[20] *}

/// tip | Consejo

The same way, you can declare responses of lists of objects.

For that, use the standard Python `typing.List` (or just `list` in Python 3.9 and above):

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

## Response with arbitrary `dict` { #response-with-arbitrary-dict }

{* ../../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):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}


## 요약

De la misma manera, puedes declarar responses de listas de objetos.

Para eso, usa el `typing.List` estándar de Python (o simplemente `list` en Python 3.9 y posteriores):

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


## Response con `dict` arbitrario { #response-with-arbitrary-dict }

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial004_py39"),
        pytest.param("tutorial004_py310", marks=needs_py310),
        pytest.param("tutorial004_an_py39"),
        pytest.param("tutorial004_an_py310", marks=needs_py310),
    ],
)
def get_mod(request: pytest.FixtureRequest):