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  1. docs/ko/docs/tutorial/debugging.md

    ```Python
        uvicorn.run(app, host="0.0.0.0", port=8000)
    ```
    
    이 실행됩니다.
    
    ---
    
    해당 모듈(파일)을 가져오면 이런 일이 발생하지 않습니다
    
    그래서 다음과 같은 다른 파일 `importer.py`가 있는 경우:
    
    ```Python
    from myapp import app
    
    # Some more code
    ```
    
    이 경우 `myapp.py` 내부의 자동 변수에는 값이 `"__main__"`인 변수 `__name__`이 없습니다.
    
    따라서 다음 행
    
    ```Python
        uvicorn.run(app, host="0.0.0.0", port=8000)
    ```
    
    은 실행되지 않습니다.
    
    !!! info "정보"
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  2. docs/en/docs/deployment/versions.md

    With **FastAPI** it's very easy (thanks to Starlette), check the docs: [Testing](../tutorial/testing.md){.internal-link target=_blank}
    
    After you have tests, then you can upgrade the **FastAPI** version to a more recent one, and make sure that all your code is working correctly by running your tests.
    
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  3. docs/en/docs/tutorial/body-fields.md

    ## Add extra information
    
    You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.
    
    You will learn more about adding extra information later in the docs, when learning to declare examples.
    
    !!! warning
        Extra keys passed to `Field` will also be present in the resulting OpenAPI schema for your application.
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  4. docs/en/docs/advanced/testing-database.md

    First, we create a new database session with the new database.
    
    We'll use an in-memory database that persists during the tests instead of the local file `sql_app.db`.
    
    But the rest of the session code is more or less the same, we just copy it.
    
    ```Python hl_lines="8-13"
    {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
    ```
    
    !!! tip
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  5. fastapi/utils.py

                "field (e.g. Union[Response, dict, None]) you can disable generating the "
                "response model from the type annotation with the path operation decorator "
                "parameter response_model=None. Read more: "
                "https://fastapi.tiangolo.com/tutorial/response-model/"
            ) from None
    
    
    def create_cloned_field(
        field: ModelField,
        *,
    Python
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  6. docs/it/docs/index.md

    ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)
    
    ### Aggiornamento della documentazione alternativa
    
    Ora vai su <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>.
    
    * Anche la documentazione alternativa dell'API mostrerà il nuovo parametro della query e il _body_:
    
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  7. docs/en/docs/deployment/concepts.md

    I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.
    
    By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.
    
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  8. docs/en/docs/how-to/conditional-openapi.md

    If there's a security flaw in your code, it will still exist.
    
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  9. docs/en/docs/python-types.md

        ```Python
        {!> ../../../docs_src/python_types/tutorial011.py!}
        ```
    
    !!! info
        To learn more about <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic, check its docs</a>.
    
    **FastAPI** is all based on Pydantic.
    
    You will see a lot more of all this in practice in the [Tutorial - User Guide](tutorial/index.md){.internal-link target=_blank}.
    
    !!! tip
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  10. docs/en/docs/advanced/sub-applications.md

    # Sub Applications - Mounts
    
    If you need to have two independent FastAPI applications, with their own independent OpenAPI and their own docs UIs, you can have a main app and "mount" one (or more) sub-application(s).
    
    ## Mounting a **FastAPI** application
    
    "Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.
    
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