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  1. docs/en/docs/tutorial/security/get-current-user.md

    Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way.
    
    You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.
    
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  2. docs/en/docs/deployment/concepts.md

    There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.
    
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  3. docs/de/docs/tutorial/security/get-current-user.md

    Sie haben eigentlich keine Benutzer, die sich bei Ihrer Anwendung anmelden, sondern Roboter, Bots oder andere Systeme, die nur über einen Zugriffstoken verfügen? Auch hier funktioniert alles gleich.
    
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  4. docs/de/docs/deployment/concepts.md

    Es besteht auch die Möglichkeit, dass es aus irgendeinem Grund zu **Spitzen** in der Nutzung Ihrer API kommt. Vielleicht ist diese viral gegangen, oder vielleicht haben andere Dienste oder Bots damit begonnen, sie zu nutzen. Und vielleicht möchten Sie in solchen Fällen über zusätzliche Ressourcen verfügen, um auf der sicheren Seite zu sein.
    
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  5. docs/en/docs/reference/request.md

    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import Request
    ```
    
    !!! tip
        When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.
    
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  6. docs/en/docs/tutorial/response-model.md

    This way, you can get the best of both worlds: type annotations with **tooling support** and **data filtering**.
    
    ## See it in the docs
    
    When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema:
    
    <img src="/img/tutorial/response-model/image01.png">
    
    And both models will be used for the interactive API documentation:
    
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  7. docs/en/docs/deployment/manually.md

    ## Server Machine and Server Program
    
    There's a small detail about names to keep in mind. 💡
    
    The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).
    
    Just keep in mind that when you read "server" in general, it could refer to one of those two things.
    
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  8. tests/test_compat.py

    
    @needs_pydanticv1
    def test_union_scalar_list():
        # For coverage
        # TODO: there might not be a current valid code path that uses this, it would
        # potentially enable query parameters defined as both a scalar and a list
        # but that would require more refactors, also not sure it's really useful
        from fastapi._compat import is_pv1_scalar_field
    
        field_info = FieldInfo()
        field = ModelField(
    Python
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  9. docs/en/docs/advanced/middleware.md

    ## `GZipMiddleware`
    
    Handles GZip responses for any request that includes `"gzip"` in the `Accept-Encoding` header.
    
    The middleware will handle both standard and streaming responses.
    
    ```Python hl_lines="2  6"
    {!../../../docs_src/advanced_middleware/tutorial003.py!}
    ```
    
    The following arguments are supported:
    
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  10. docs/en/docs/advanced/testing-database.md

    ```Python hl_lines="8-13"
    {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
    ```
    
    !!! tip
        You could reduce duplication in that code by putting it in a function and using it from both `database.py` and `tests/test_sql_app.py`.
    
        For simplicity and to focus on the specific testing code, we are just copying it.
    
    ## Create the database
    
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