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  1. docs/en/docs/deployment/docker.md

    #### Docker Compose { #docker-compose }
    
    You could be deploying to a **single server** (not a cluster) with **Docker Compose**, so you wouldn't have an easy way to manage replication of containers (with Docker Compose) while preserving the shared network and **load balancing**.
    
    Then you could want to have **a single container** with a **process manager** starting **several worker processes** inside.
    
    ---
    
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  2. docs/de/docs/deployment/concepts.md

    /// tip | Tipp
    
    Machen Sie sich keine Sorgen, wenn einige dieser Punkte zu **Containern**, Docker oder Kubernetes noch nicht viel Sinn ergeben.
    
    Ich werde Ihnen in einem zukünftigen Kapitel mehr über Container-Images, Docker, Kubernetes, usw. erzählen: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}.
    
    ///
    
    ## Schritte vor dem Start
    
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  3. docs/es/docs/deployment/concepts.md

    /// tip | Consejo
    
    No te preocupes si algunos de estos elementos sobre **contenedores**, Docker, o Kubernetes no tienen mucho sentido todavía.
    
    Te contaré más sobre imágenes de contenedores, Docker, Kubernetes, etc. en un capítulo futuro: [FastAPI en Contenedores - Docker](docker.md){.internal-link target=_blank}.
    
    ///
    
    ## Pasos Previos Antes de Iniciar
    
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  4. docs/em/docs/deployment/manually.md

    <div class="termy">
    
    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### 🏃 ⏮️ 🎻
    
    ⤴️ 👆 💪 🚶‍♀️ 📋 ⏸ 🎛 `--worker-class` ⏮️ 💲 `trio`:
    
    <div class="termy">
    
    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
    &amp; 👈 🔜 ▶️ Hypercorn ⏮️ 👆 📱 ⚙️ 🎻 👩‍💻.
    
    🔜 👆 💪 ⚙️ 🎻 🔘 👆 📱. ⚖️ 👍, 👆 💪 ⚙️ AnyIO, 🚧 👆 📟 🔗 ⏮️ 👯‍♂️ 🎻 &amp; ✳. 👶
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  5. docs/fr/docs/deployment/manually.md

    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### Exécuter avec Trio
    
    Ensuite, vous pouvez passer l'option de ligne de commande `--worker-class` avec la valeur `trio` :
    
    <div class="termy">
    
    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
    Et cela démarrera Hypercorn avec votre application en utilisant Trio comme backend.
    
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  6. docs/es/docs/deployment/docker.md

    /// note | Detalles Técnicos
    
    La imagen de Docker se creó cuando Uvicorn no soportaba gestionar y reiniciar workers muertos, por lo que era necesario usar Gunicorn con Uvicorn, lo que añadía bastante complejidad, solo para que Gunicorn gestionara y reiniciara los worker processes de Uvicorn.
    
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  7. docs/de/docs/deployment/manually.md

    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### Mit Trio ausführen
    
    Dann können Sie die Befehlszeilenoption `--worker-class` mit dem Wert `trio` übergeben:
    
    <div class="termy">
    
    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
    Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.
    
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  8. okhttp/src/commonJvmAndroid/kotlin/okhttp3/internal/concurrent/TaskRunner.kt

    import java.util.logging.Logger
    import okhttp3.internal.addIfAbsent
    import okhttp3.internal.concurrent.TaskRunner.Companion.INSTANCE
    import okhttp3.internal.okHttpName
    import okhttp3.internal.threadFactory
    
    /**
     * A set of worker threads that are shared among a set of task queues.
     *
     * Use [INSTANCE] for a task runner that uses daemon threads. There is not currently a shared
     * instance for non-daemon threads.
     *
    Registered: Fri Sep 05 11:42:10 UTC 2025
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  9. okhttp/src/androidMain/baseline-prof.txt

    HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->nextInt(I)I
    HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->pollGlobalQueues()Lkotlinx/coroutines/scheduling/Task;
    HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->run()V
    HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->setIndexInArray(I)V
    HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->setNextParkedWorker(Ljava/lang/Object;)V
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  10. docs/de/docs/project-generation.md

    ### Full Stack FastAPI PostgreSQL – Funktionen
    
    * Vollständige **Docker**-Integration (Docker-basiert).
    * Docker-Schwarmmodus-Deployment.
    * **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
    * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
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