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  1. docs/tr/docs/async.md

    async def read_burgers():
        burgers = await get_burgers(2)
        return burgers
    ```
    
    ### Daha fazla teknik detay
    
    `await` in yalnızca `async def` ile tanımlanan fonksıyonların içinde kullanılabileceğini fark etmişsinizdir.
    
    Ama aynı zamanda, `async def` ile tanımlanan fonksiyonların "await" ile beklenmesi gerekir. Bu nedenle, "`async def` içeren fonksiyonlar yalnızca "`async def` ile tanımlanan fonksiyonların içinde çağrılabilir.
    
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  2. docs/id/docs/tutorial/index.md

    # Tutorial - Pedoman Pengguna - Pengenalan
    
    Tutorial ini menunjukan cara menggunakan ***FastAPI*** dengan semua fitur-fiturnya, tahap demi tahap.
    
    Setiap bagian dibangun secara bertahap dari bagian sebelumnya, tetapi terstruktur untuk memisahkan banyak topik, sehingga kamu bisa secara langsung menuju ke topik spesifik untuk menyelesaikan kebutuhan API tertentu.
    
    Ini juga dibangun untuk digunakan sebagai referensi yang akan datang.
    
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  3. docs/tr/docs/tutorial/query-params.md

    !!! check "Ek bilgi"
        Ayrıca, dikkatinizi çekerim ki; **FastAPI**, `item_id` parametresinin bir yol parametresi olduğunu ve `q` parametresinin yol değil bir sorgu parametresi olduğunu fark edecek kadar beceriklidir.
    
    ## Sorgu Parametresi Tip Dönüşümü
    
    Aşağıda görüldüğü gibi dönüştürülmek üzere `bool` tipleri de tanımlayabilirsiniz:
    
    === "Python 3.10+"
    
        ```Python hl_lines="7"
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  4. docs/en/docs/async.md

    Then, when it's your turn, you do actual "productive" work, you process the menu, decide what you want, get your crush's choice, pay, check that you give the correct bill or card, check that you are charged correctly, check that the order has the correct items, etc.
    
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  5. tests/test_param_include_in_schema.py

    }
    
    
    def test_openapi_schema():
        client = TestClient(app)
        response = client.get("/openapi.json")
        assert response.status_code == 200
        assert response.json() == openapi_schema
    
    
    @pytest.mark.parametrize(
        "path,cookies,expected_status,expected_response",
        [
            (
                "/hidden_cookie",
                {},
                200,
                {"hidden_cookie": None},
            ),
    Python
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  6. docs/en/docs/tutorial/path-params-numeric-validations.md

        {!> ../../../docs_src/path_params_numeric_validations/tutorial001.py!}
        ```
    
    !!! note
        A path parameter is always required as it has to be part of the path.
    
        So, you should declare it with `...` to mark it as required.
    
        Nevertheless, even if you declared it with `None` or set a default value, it would not affect anything, it would still be always required.
    
    ## Order the parameters as you need
    
    !!! tip
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  7. docs/en/docs/deployment/server-workers.md

    * Then it detects that it has to use the worker class at `uvicorn.workers.UvicornWorker`.
    * 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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  8. docs/pt/docs/alternatives.md

    Agora APIStar é um conjunto de ferramentas para validar especificações OpenAPI, não um framework web.
    
    !!! info
        APIStar foi criado por Tom Christie. O mesmo cara que criou:
    
        * Django REST Framework
        * Starlette (no qual **FastAPI** é baseado)
        * Uvicorn (usado por Starlette e **FastAPI**)
    
    !!! check "**FastAPI** inspirado para"
        Existir.
    
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  9. fastapi/routing.py

                    """
                ),
            ] = None,
            deprecated: Annotated[
                Optional[bool],
                Doc(
                    """
                    Mark all *path operations* in this router as deprecated.
    
                    It will be added to the generated OpenAPI (e.g. visible at `/docs`).
    
                    Read more about it in the
    Python
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  10. docs/en/docs/deployment/docker.md

    Having another process manager inside the container (as would be with Gunicorn or Uvicorn managing Uvicorn workers) would only add **unnecessary complexity** that you are most probably already taking care of with your cluster system.
    
    ### Containers with Multiple Processes and Special Cases
    
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