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  1. docs/en/docs/advanced/additional-responses.md

    {* ../../docs_src/additional_responses/tutorial003_py39.py hl[20:31] *}
    
    It will all be combined and included in your OpenAPI, and shown in the API docs:
    
    <img src="/img/tutorial/additional-responses/image01.png">
    
    ## Combine predefined responses and custom ones { #combine-predefined-responses-and-custom-ones }
    
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  2. docs/ru/docs/tutorial/body-nested-models.md

    ## Поддержка редактора кода везде { #editor-support-everywhere }
    
    И вы получаете поддержку редактора кода везде.
    
    Даже для элементов внутри списков:
    
    <img src="/img/tutorial/body-nested-models/image01.png">
    
    Вы не могли бы получить такую поддержку редактора кода, если бы работали напрямую с `dict`, а не с моделями Pydantic.
    
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  3. docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md

    commons = Depends(CommonQueryParams)
    ```
    
    ..就像:
    
    {* ../../docs_src/dependencies/tutorial003_py310.py hl[17] *}
    
    但是声明类型是被鼓励的,因为那样你的编辑器就会知道将传递什么作为参数 `commons` ,然后它可以帮助你完成代码,类型检查,等等:
    
    <img src="/img/tutorial/dependencies/image02.png">
    
    ## 快捷方式
    
    但是您可以看到,我们在这里有一些代码重复了,编写了`CommonQueryParams`两次:
    
    ```Python
    commons: CommonQueryParams = Depends(CommonQueryParams)
    ```
    
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  4. fastapi/encoders.py

        in a database that supports only JSON.
    
        Read more about it in the
        [FastAPI docs for JSON Compatible Encoder](https://fastapi.tiangolo.com/tutorial/encoder/).
        """
        custom_encoder = custom_encoder or {}
        if custom_encoder:
            if type(obj) in custom_encoder:
                return custom_encoder[type(obj)](obj)
            else:
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  5. README.md

    ![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)
    
    For a more complete example including more features, see the <a href="https://fastapi.tiangolo.com/tutorial/">Tutorial - User Guide</a>.
    
    **Spoiler alert**: the tutorial - user guide includes:
    
    * Declaration of **parameters** from other different places as: **headers**, **cookies**, **form fields** and **files**.
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  6. docs/de/docs/tutorial/query-params-str-validations.md

    ///
    
    Die interaktive API-Dokumentation wird entsprechend aktualisiert, um mehrere Werte zu erlauben:
    
    <img src="/img/tutorial/query-params-str-validations/image02.png">
    
    ### Query-Parameter-Liste / Mehrere Werte mit Defaults { #query-parameter-list-multiple-values-with-defaults }
    
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  7. docs/pt/docs/tutorial/query-params-str-validations.md

    ///
    
    A documentação interativa da API será atualizada de acordo, permitindo múltiplos valores:
    
    <img src="/img/tutorial/query-params-str-validations/image02.png">
    
    ### Lista de parâmetros de consulta / múltiplos valores com valores padrão { #query-parameter-list-multiple-values-with-defaults }
    
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  8. docs/es/docs/advanced/path-operation-advanced-configuration.md

    {* ../../docs_src/path_operation_advanced_configuration/tutorial005_py39.py hl[6] *}
    
    Si abres la documentación automática de la API, tu extensión aparecerá en la parte inferior de la *path operation* específica.
    
    <img src="/img/tutorial/path-operation-advanced-configuration/image01.png">
    
    Y si ves el OpenAPI resultante (en `/openapi.json` en tu API), verás tu extensión como parte de la *path operation* específica también:
    
    ```JSON hl_lines="22"
    {
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  9. docs/pt/docs/advanced/path-operation-advanced-configuration.md

    {* ../../docs_src/path_operation_advanced_configuration/tutorial005_py39.py hl[6] *}
    
    Se você abrir os documentos criados automaticamente para a API, sua extensão aparecerá no final da *operação de rota* específica.
    
    <img src="/img/tutorial/path-operation-advanced-configuration/image01.png">
    
    E se você olhar o esquema OpenAPI resultante (na rota `/openapi.json` da sua API), você verá que a sua extensão também faz parte da *operação de rota* específica:
    
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  10. docs/docker/README.md

    See our web documentation on [Deploying MinIO in Standalone Mode](Deploy Standalone MinIO in a Container) for a more structured tutorial on deploying MinIO in a container.
    
    ## Prerequisites
    
    Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).
    
    ## Run Standalone MinIO on Docker
    
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