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

        * 이런식으로 구니콘이 import하여 사용할 수 있는 클래스를 전달해줍니다:
    
            ```Python
            import uvicorn.workers.UvicornWorker
            ```
    
    * `--bind`: 구니콘이 관찰할 IP와 포트를 의미합니다. 콜론 (`:`)을 사용하여 IP와 포트를 구분합니다.
        * 만약에 `--bind 0.0.0.0:80` (구니콘 옵션) 대신 유비콘을 직접 실행하고 싶다면 `--host 0.0.0.0`과 `--port 80`을 사용해야 합니다.
    
    출력에서 각 프로세스에 대한 **PID** (process ID)를 확인할 수 있습니다. (단순한 숫자입니다)
    
    출력 내용:
    
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  2. docs/fr/docs/async.md

    Le temps d'exécution étant consommé majoritairement par l'attente d'opérations <abbr title="Input/Output ou Entrées et Sorties ">I/O</abbr> on appelle ceci des opérations <a href="https://fr.wikipedia.org/wiki/I/O_bound" class="external-link" target="_blank">"I/O bound"</a>.
    
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  3. docs/pt/docs/deployment.md

        ```
    
        </div>
    
    === "Hypercorn"
    
        <div class="termy">
    
        ```console
        $ hypercorn main:app --bind 0.0.0.0:80
    
        Running on 0.0.0.0:8080 over http (CTRL + C to quit)
        ```
    
        </div>
    
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  4. docs/tr/docs/async.md

    Yürütme süresinin çoğu (beklemek yerine) iş yapıldığından ve bilgisayardaki iş bir <abbr title="Central Processing Unit">CPU</abbr> tarafından yapıldığından, bu sorunlara "CPU bound" diyorlar".
    
    ---
    
    CPU'ya bağlı işlemlerin yaygın örnekleri, karmaşık matematik işlemleri gerektiren işlerdir.
    
    Örneğin:
    
    * **Ses** veya **görüntü işleme**.
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  5. docs/de/docs/deployment/server-workers.md

            ```Python
            import uvicorn.workers.UvicornWorker
            ```
    
    * `--bind`: Das teilt Gunicorn die IP und den Port mit, welche abgehört werden sollen, wobei ein Doppelpunkt (`:`) verwendet wird, um die IP und den Port zu trennen.
        * Wenn Sie Uvicorn direkt ausführen würden, würden Sie anstelle von `--bind 0.0.0.0:80` (die Gunicorn-Option) stattdessen `--host 0.0.0.0` und `--port 80` verwenden.
    
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  6. docs/en/docs/async.md

    And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".
    
    ---
    
    Common examples of CPU bound operations are things that require complex math processing.
    
    For example:
    
    * **Audio** or **image processing**.
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  7. docs/ja/docs/deployment/server-workers.md

        * ここではGunicornがインポートして使用できるクラスを渡します:
    
            ```Python
            import uvicorn.workers.UvicornWorker
            ```
    
    * `--bind`: GunicornにリッスンするIPとポートを伝えます。コロン(`:`)でIPとポートを区切ります。
        * Uvicornを直接実行している場合は、`--bind 0.0.0.0:80` (Gunicornのオプション)の代わりに、`--host 0.0.0.0`と `--port 80`を使います。
    
    出力では、各プロセスの**PID**(プロセスID)が表示されているのがわかります(単なる数字です)。
    
    以下の通りです:
    
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  8. docs/es/docs/async.md

    * etc.
    
    Como el tiempo de ejecución se consume principalmente al esperar a operaciones de <abbr title = "Input and Output">I/O</abbr>, las llaman operaciones "<abbr title="atadas a Entrada y Salida">I/O bound</abbr>".
    
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  9. docs/de/docs/async.md

    * usw.
    
    Da die Ausführungszeit hier hauptsächlich durch das Warten auf <abbr title="Input and Output – Eingabe und Ausgabe">I/O</abbr>-Operationen verbraucht wird, nennt man dies auch „I/O-lastige“ („I/O bound“) Operationen.
    
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  10. docs/ru/docs/async.md

    * получение результатов запроса к базе данных
    * и т. д.
    
    Поскольку в основном время тратится на ожидание выполнения операций <abbr title="Ввода-вывода">I/O</abbr>,
    их обычно называют операциями, <abbr title="I/O bound">ограниченными скоростью ввода-вывода</abbr>.
    
    Код называют "асинхронным", потому что компьютеру / программе не требуется "синхронизироваться" с медленной задачей и,
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