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  1. docs/ko/docs/help-fastapi.md

      "Releases only" 대신 "Watching"을 선택하면 다른 사용자가 새로운 issue를 생성할 때 알림이 수신됩니다.
    
      그런 다음 이런 issues를 해결 할 수 있도록 도움을 줄 수 있습니다.
    
      ## 이슈 생성하기
    
      GitHub 저장소에 [새로운 이슈 생성](https://github.com/tiangolo/fastapi/issues/new/choose) 을 할 수 있습니다, 예를들면 다음과 같습니다:
    
      - **질문**을 하거나 **문제**에 대해 질문합니다.
      - 새로운 **기능**을 제안 합니다.
    
      **참고**: 만약 이슈를 생성한다면, 저는 여러분에게 다른 사람들을 도와달라고 부탁할 것입니다. 😉
    
      ## Pull Request를 만드십시오
    
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  2. docs/de/docs/advanced/middleware.md

    In der Dokumentation für ASGI-Middlewares von Drittanbietern wird Ihnen wahrscheinlich gesagt, etwa Folgendes zu tun:
    
    ```Python
    from unicorn import UnicornMiddleware
    
    app = SomeASGIApp()
    
    new_app = UnicornMiddleware(app, some_config="rainbow")
    ```
    
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  3. docs/en/docs/deployment/server-workers.md

    * And then it starts **4 workers**, each with its own PID: `19511`, `19513`, `19514`, and `19515`.
    
    Gunicorn would also take care of managing **dead processes** and **restarting** new ones if needed to keep the number of workers. So that helps in part with the **restart** concept from the list above.
    
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  4. docs/en/docs/index.md

    * The alternative documentation will also reflect the new query parameter and body:
    
    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)
    
    ### Recap
    
    In summary, you declare **once** the types of parameters, body, etc. as function parameters.
    
    You do that with standard modern Python types.
    
    You don't have to learn a new syntax, the methods or classes of a specific library, etc.
    
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  5. docs/zh/docs/advanced/middleware.md

    中间件不必是专为 FastAPI 或 Starlette 定制的,只要遵循 ASGI 规范即可。
    
    总之,ASGI 中间件是类,并把 ASGI 应用作为第一个参数。
    
    因此,有些第三方 ASGI 中间件的文档推荐以如下方式使用中间件:
    
    ```Python
    from unicorn import UnicornMiddleware
    
    app = SomeASGIApp()
    
    new_app = UnicornMiddleware(app, some_config="rainbow")
    ```
    
    但 FastAPI(实际上是 Starlette)提供了一种更简单的方式,能让内部中间件在处理服务器错误的同时,还能让自定义异常处理器正常运作。
    
    为此,要使用 `app.add_middleware()` (与 CORS 中的示例一样)。
    
    ```Python
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  6. docs/ru/docs/help-fastapi.md

    Тогда Вы можете попробовать решить эту проблему.
    
    ## Запросить помощь с решением проблемы
    
    Вы можете <a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="external-link" target="_blank">создать новый запрос с просьбой о помощи</a> в репозитории на GitHub, например:
    
    * Задать **вопрос** или попросить помощи в решении **проблемы**.
    * Предложить новое **улучшение**.
    
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  7. docs/de/docs/help-fastapi.md

    Dann können Sie versuchen, bei der Lösung solcher Fragen zu helfen.
    
    ## Fragen stellen
    
    Sie können im GitHub-Repository <a href="https://github.com/tiangolo/fastapi/discussions/new?category=questions" class="external-link" target="_blank">eine neue Frage erstellen</a>, zum Beispiel:
    
    * Stellen Sie eine **Frage** oder bitten Sie um Hilfe mit einem **Problem**.
    * Schlagen Sie eine neue **Funktionalität** vor.
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  8. docs/en/docs/tutorial/body-updates.md

        "description": None,
    }
    ```
    
    because it doesn't include the already stored attribute `"tax": 20.2`, the input model would take the default value of `"tax": 10.5`.
    
    And the data would be saved with that "new" `tax` of `10.5`.
    
    ## Partial updates with `PATCH`
    
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  9. fastapi/dependencies/utils.py

            if isinstance(errors_, ErrorWrapper):
                errors.append(errors_)
            elif isinstance(errors_, list):
                new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())
                errors.extend(new_errors)
            else:
                values[field.name] = v_
        return values, errors
    
    
    async def request_body_to_args(
        required_params: List[ModelField],
    Python
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  10. docs/en/docs/deployment/docker.md

    * <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.
    
    By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.
    
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