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  1. docs/en/docs/tutorial/response-model.md

    This simple case is handled automatically by FastAPI because the return type annotation is the class (or a subclass) of `Response`.
    
    And tools will also be happy because both `RedirectResponse` and `JSONResponse` are subclasses of `Response`, so the type annotation is correct.
    
    ### Annotate a Response Subclass
    
    You can also use a subclass of `Response` in the type annotation:
    
    ```Python hl_lines="8-9"
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  2. docs/en/docs/advanced/dataclasses.md

    7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.
    
        Again, you can combine `dataclasses` with standard type annotations.
    
    8. Notice that this *path operation function* uses regular `def` instead of `async def`.
    
        As always, in FastAPI you can combine `def` and `async def` as needed.
    
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  3. docs/en/docs/tutorial/path-params.md

    ### Declare a *path parameter*
    
    Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):
    
    ```Python hl_lines="16"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    ### Check the docs
    
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  4. docs/fr/docs/tutorial/path-params.md

    ### Déclarer un paramètre de chemin
    
    Créez ensuite un *paramètre de chemin* avec une annotation de type désignant l'énumération créée précédemment (`ModelName`) :
    
    ```Python hl_lines="16"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    ### Documentation
    
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  5. docs/en/docs/tutorial/cookie-params.md

        ```
    
    ## Declare `Cookie` parameters
    
    Then declare the cookie parameters using the same structure as with `Path` and `Query`.
    
    The first value is the default value, you can pass all the extra validation or annotation parameters:
    
    === "Python 3.10+"
    
        ```Python hl_lines="9"
        {!> ../../../docs_src/cookie_params/tutorial001_an_py310.py!}
        ```
    
    === "Python 3.9+"
    
        ```Python hl_lines="9"
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  6. docs/de/docs/tutorial/response-model.md

    Würden Sie eine hierfür eine Rückgabetyp-Annotation verwenden, dann würden Tools und Editoren (korrekterweise) Fehler ausgeben, die Ihnen sagen, dass Ihre Funktion einen Typ zurückgibt (z. B. ein Dict), der sich unterscheidet von dem, was Sie deklariert haben (z. B. ein Pydantic-Modell).
    
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  7. docs/en/docs/tutorial/extra-models.md

    In this example we pass `Union[PlaneItem, CarItem]` as the value of the argument `response_model`.
    
    Because we are passing it as a **value to an argument** instead of putting it in a **type annotation**, we have to use `Union` even in Python 3.10.
    
    If it was in a type annotation we could have used the vertical bar, as:
    
    ```Python
    some_variable: PlaneItem | CarItem
    ```
    
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  8. docs/ru/docs/tutorial/query-params-str-validations.md

        ```Python hl_lines="1  3"
        {!> ../../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
        ```
    
    === "Python 3.8+"
    
        В версиях Python ниже Python 3.9 `Annotation` импортируется из `typing_extensions`.
    
        Эта библиотека будет установлена вместе с FastAPI.
    
        ```Python hl_lines="3-4"
        {!> ../../../docs_src/query_params_str_validations/tutorial002_an.py!}
        ```
    
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  9. docs/en/docs/how-to/graphql.md

    Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.
    
    Here's a small preview of how you could integrate Strawberry with FastAPI:
    
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  10. docs/fr/docs/history-design-future.md

    </blockquote>
    
    ## Recherche
    
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