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  2. github.com/tiangolo/fastapi

    docs_src/header_param_models/tutorial002_py310.py 

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  3. github.com/tiangolo/fastapi

    docs_src/path_operation_configuration/tutorial002_py310.py 

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  4. github.com/tiangolo/fastapi

    docs_src/path_operation_configuration/tutorial004_py310.py 

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  5. github.com/tiangolo/fastapi

    docs_src/python_types/tutorial008b_py39.py 

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  6. github.com/tiangolo/fastapi

    docs_src/query_param_models/tutorial001_py310.py 

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  7. github.com/tiangolo/fastapi

    docs_src/query_params/tutorial003_py310.py 

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  8. github.com/tiangolo/fastapi

    docs_src/query_params_str_validations/tutorial003_py310.py 

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  9. github.com/tiangolo/fastapi

    docs/pt/docs/advanced/additional-responses.md 

    {* ../../docs_src/additional_responses/tutorial002_py310.py hl[17:22,26] *}

/// note | Nota

Note que você deve retornar a imagem utilizando um `FileResponse` diretamente.

///

/// info | Informação
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  10. github.com/tiangolo/fastapi

    docs/ru/docs/advanced/additional-responses.md 

    Например, вы можете добавить дополнительный тип содержимого `image/png`, объявив, что ваша операция пути может возвращать JSON‑объект (с типом содержимого `application/json`) или PNG‑изображение:

{* ../../docs_src/additional_responses/tutorial002_py310.py hl[17:22,26] *}

/// note | Примечание

Учтите, что изображение нужно возвращать напрямую, используя `FileResponse`.

///

/// info | Информация
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  11. github.com/tiangolo/fastapi

    docs/zh/docs/tutorial/response-model.md 

    ///

## 添加输出模型

相反，我们可以创建一个有明文密码的输入模型和一个没有明文密码的输出模型：

{* ../../docs_src/response_model/tutorial003_py310.py hl[9,11,16] *}

这样，即便我们的*路径操作函数*将会返回包含密码的相同输入用户：

{* ../../docs_src/response_model/tutorial003_py310.py hl[24] *}

...我们已经将 `response_model` 声明为了不包含密码的 `UserOut` 模型：

{* ../../docs_src/response_model/tutorial003_py310.py hl[22] *}

因此，**FastAPI** 将会负责过滤掉未在输出模型中声明的所有数据（使用 Pydantic）。

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