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  1. docs/ko/docs/deployment/server-workers.md

    ```console
    $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80
    
    [19499] [INFO] Starting gunicorn 20.1.0
    [19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
    [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
    [19511] [INFO] Booting worker with pid: 19511
    [19513] [INFO] Booting worker with pid: 19513
    [19514] [INFO] Booting worker with pid: 19514
    [19515] [INFO] Booting worker with pid: 19515
    Plain Text
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  2. docs/en/docs/deployment/manually.md

    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### Run with Trio
    
    Then you can pass the command line option `--worker-class` with the value `trio`:
    
    <div class="termy">
    
    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
    And that will start Hypercorn with your app using Trio as the backend.
    
    Plain Text
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  3. docs/de/docs/project-generation.md

    * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf).
    * **Alembic**-Migrationen.
    * **CORS** (Cross Origin Resource Sharing).
    * **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.
    Plain Text
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  4. docs/ja/docs/deployment/concepts.md

    しかし、多くの場合、複数のワーカー・プロセスを同時に実行したいと考えるでしょう。
    
    ### 複数のプロセス - Worker
    
    クライアントの数が単一のプロセスで処理できる数を超えており(たとえば仮想マシンがそれほど大きくない場合)、かつサーバーの CPU に**複数のコア**がある場合、同じアプリケーションで同時に**複数のプロセス**を実行させ、すべてのリクエストを分散させることができます。
    
    同じAPIプログラムの**複数のプロセス**を実行する場合、それらは一般的に**Worker/ワーカー**と呼ばれます。
    
    ### ワーカー・プロセス と ポート
    <!-- NOTE: https.md written in Japanese does not exist, so it redirects to English one  -->
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  5. docs/en/docs/contributing.md

        This only happens when you install using this included `requirements.txt` instead of running `pip install fastapi` directly.
    
        That is because inside the `requirements.txt` file, the local version of FastAPI is marked to be installed in "editable" mode, with the `-e` option.
    
    ### Format the code
    
    There is a script that you can run that will format and clean all your code:
    
    <div class="termy">
    
    ```console
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  6. docs/en/docs/tutorial/path-operation-configuration.md

    ```Python hl_lines="16"
    {!../../../docs_src/path_operation_configuration/tutorial006.py!}
    ```
    
    It will be clearly marked as deprecated in the interactive docs:
    
    <img src="/img/tutorial/path-operation-configuration/image04.png">
    
    Check how deprecated and non-deprecated *path operations* look like:
    
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  7. docs/en/docs/advanced/async-tests.md

    {!../../../docs_src/async_tests/test_main.py!}
    ```
    
    ## Run it
    
    You can run your tests as usual via:
    
    <div class="termy">
    
    ```console
    $ pytest
    
    ---> 100%
    ```
    
    </div>
    
    ## In Detail
    
    The marker `@pytest.mark.anyio` tells pytest that this test function should be called asynchronously:
    
    ```Python hl_lines="7"
    {!../../../docs_src/async_tests/test_main.py!}
    ```
    
    !!! tip
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  8. README.md

    <a href="https://databento.com/" target="_blank" title="Pay as you go for market data"><img src="https://fastapi.tiangolo.com/img/sponsors/databento.svg"></a>
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  9. docs/en/docs/tutorial/body-updates.md

    !!! note
        Notice that the input model is still validated.
    
        So, if you want to receive partial updates that can omit all the attributes, you need to have a model with all the attributes marked as optional (with default values or `None`).
    
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  10. fastapi/routing.py

        *, dependant: Dependant, values: Dict[str, Any], is_coroutine: bool
    ) -> Any:
        # Only called by get_request_handler. Has been split into its own function to
        # facilitate profiling endpoints, since inner functions are harder to profile.
        assert dependant.call is not None, "dependant.call must be a function"
    
        if is_coroutine:
            return await dependant.call(**values)
        else:
    Python
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