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  1. docs/en/docs/tutorial/schema-extra-example.md

    That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.
    
    === "Pydantic v2"
    
        In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic's docs: Model Config</a>.
    
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  2. docs/es/docs/async.md

    ### Concurrencia y Hamburguesas
    
    El concepto de código **asíncrono** descrito anteriormente a veces también se llama **"concurrencia"**. Es diferente del **"paralelismo"**.
    
    **Concurrencia** y **paralelismo** ambos se relacionan con "cosas diferentes que suceden más o menos al mismo tiempo".
    
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  3. docs/en/docs/deployment/docker.md

    and you are already setting **replication** at the cluster level, with multiple **containers**. In those cases, you are better off **building an image from scratch** as described above: [Build a Docker Image for FastAPI](#build-a-docker-image-for-fastapi).
    
    This image would be useful mainly in the special cases described above in [Containers with Multiple Processes and Special Cases](#containers-with-multiple-processes-and-special-cases). For example, if your application is **simple enough**...
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  4. docs/es/docs/tutorial/first-steps.md

    ## Repaso
    
    * Importa `FastAPI`.
    * Crea un instance de `app`.
    * Escribe un **decorador de operación de path** (como `@app.get("/")`).
    * Escribe una **función de la operación de path** (como `def root(): ...` arriba).
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  5. docs/pt/docs/deployment/docker.md

    !!! warning
        Existe uma grande chance de que você **não** precise dessa imagem base ou de qualquer outra semelhante, e seria melhor construir a imagem do zero, como [descrito acima em: Construa uma Imagem Docker para o FastAPI](#construindo-uma-imagem-docker-para-fastapi).
    
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