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  1. docs/de/docs/reference/exceptions.md

    Wenn Sie eine Exception auslösen, wird, wie es bei normalem Python der Fall wäre, der Rest der Ausführung abgebrochen. Auf diese Weise können Sie diese Exceptions von überall im Code werfen, um einen Request abzubrechen und den Fehler dem Client anzuzeigen.
    
    Sie können Folgendes verwenden:
    
    * `HTTPException`
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  2. docs/en/docs/advanced/security/index.md

    ## Read the Tutorial first
    
    The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.
    
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  3. docs/en/docs/tutorial/response-model.md

    `response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`.
    
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  4. docs/de/docs/advanced/openapi-callbacks.md

    In diesem Fall möchten Sie möglicherweise dokumentieren, wie diese externe API aussehen *sollte*. Welche *Pfadoperation* sie haben sollte, welchen Body sie erwarten sollte, welche Response sie zurückgeben sollte, usw.
    
    ## Eine Anwendung mit Callbacks
    
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  5. docs/de/docs/tutorial/dependencies/sub-dependencies.md

        ```
    
    ## Zusammenfassung
    
    Abgesehen von all den ausgefallenen Wörtern, die hier verwendet werden, ist das **Dependency Injection**-System recht simpel.
    
    Einfach Funktionen, die genauso aussehen wie *Pfadoperation-Funktionen*.
    
    Dennoch ist es sehr mächtig und ermöglicht Ihnen die Deklaration beliebig tief verschachtelter Abhängigkeits-„Graphen“ (Bäume).
    
    !!! tip "Tipp"
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  6. docs/it/docs/index.md

    <a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Altri sponsor</a>
    
    ## Recensioni
    
    "_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"
    
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  7. docs_src/security/tutorial003_an_py39.py

    
    def get_user(db, username: str):
        if username in db:
            user_dict = db[username]
            return UserInDB(**user_dict)
    
    
    def fake_decode_token(token):
        # This doesn't provide any security at all
        # Check the next version
        user = get_user(fake_users_db, token)
        return user
    
    
    async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
        user = fake_decode_token(token)
    Python
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  8. docs/en/docs/advanced/behind-a-proxy.md

    In this case, the original path `/app` would actually be served at `/api/v1/app`.
    
    Even though all your code is written assuming there's just `/app`.
    
    ```Python hl_lines="6"
    {!../../../docs_src/behind_a_proxy/tutorial001.py!}
    ```
    
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  9. docs/pt/docs/tutorial/index.md

    ## Instale o FastAPI
    
    O primeiro passo é instalar o FastAPI.
    
    Para o tutorial, você deve querer instalá-lo com todas as dependências e recursos opicionais.
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...isso também inclui o `uvicorn`, que você pode usar como o servidor que rodará seu código.
    
    !!! note "Nota"
        Você também pode instalar parte por parte.
    
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  10. docs/en/docs/tutorial/path-params.md

    The same way, there are many compatible tools. Including code generation tools for many languages.
    
    ## Pydantic
    
    All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands.
    
    You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.
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