In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above):

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

## Recap { #recap }

Use multiple Pydantic models and inherit freely for each case.

{* ../../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 }

使用同样的方式也可以声明由对象列表构成的响应。

为此，请使用标准的 Python `typing.List`：

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

## 任意 `dict` 构成的响应

任意的 `dict` 都能用于声明响应，只要声明键和值的类型，无需使用 Pydantic 模型。

事先不知道可用的字段 / 属性名时（Pydantic 模型必须知道字段是什么），这种方式特别有用。

此时，可以使用 `typing.Dict`：

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

## 小结

针对不同场景，可以随意使用不同的 Pydantic 模型继承定义的基类。

In diesem Fall können Sie `typing.Dict` verwenden (oder nur `dict` in Python 3.9 und höher):

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

## Zusammenfassung { #recap }

Verwenden Sie gerne mehrere Pydantic-Modelle und vererben Sie je nach Bedarf.

В этом случае вы можете использовать `typing.Dict` (или просто `dict` в Python 3.9 и выше):

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

## Резюме { #recap }

Используйте несколько Pydantic-моделей и свободно применяйте наследование для каждой из них.

Neste caso, você pode usar `typing.Dict` (ou simplesmente `dict` no Python 3.9 e superior):

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

## Recapitulação { #recap }

Use vários modelos Pydantic e herde livremente para cada caso.

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

Como o editor conhece os tipos de variáveis, você não obtém apenas o preenchimento automático, mas também as verificações de erro:

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

Agora você sabe que precisa corrigí-lo, converta `age` em uma string com `str(age)`:

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

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

Porque el editor conoce los tipos de las variables, no solo obtienes autocompletado, también obtienes chequeo de errores:

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

Ahora sabes que debes corregirlo, convertir `age` a un string con `str(age)`:

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

## Declaración de tipos { #declaring-types }

from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial005_py39"),
        pytest.param("tutorial005_py310", marks=needs_py310),
        pytest.param("tutorial005_an_py39"),
        pytest.param("tutorial005_an_py310", marks=needs_py310),
    ],
)
def get_mod(request: pytest.FixtureRequest):

{* ../../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