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  1. docs/pt/docs/tutorial/path-params.md

    Importe `Enum` e crie uma sub-classe que herde de `str` e de `Enum`.
    
    Por herdar de `str` a documentação da API vai ser capaz de saber que os valores devem ser do tipo `string` e assim ser capaz de mostrar eles corretamente.
    
    Assim, crie atributos de classe com valores fixos, que serão os valores válidos disponíveis.
    
    ```Python hl_lines="1  6-9"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    !!! info "informação"
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  2. docs/es/docs/tutorial/path-params.md

    Importa `Enum` y crea una sub-clase que herede desde `str` y desde `Enum`.
    
    Al heredar desde `str` la documentación de la API podrá saber que los valores deben ser de tipo `string` y podrá mostrarlos correctamente.
    
    Luego crea atributos de clase con valores fijos, que serán los valores disponibles válidos:
    
    ```Python hl_lines="1  6-9"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    !!! info "Información"
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  3. docs/es/docs/advanced/additional-status-codes.md

        Cuando devuelves directamente una `Response`, como en los ejemplos anteriores, será devuelta directamente.
    
        No será serializado con el modelo, etc.
    
        Asegúrate de que la respuesta tenga los datos que quieras, y que los valores sean JSON válidos (si estás usando `JSONResponse`).
    
    !!! note "Detalles Técnicos"
        También podrías utilizar `from starlette.responses import JSONResponse`.
    
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  4. docs/distributed/README.md

    ## Get started
    
    If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.
    
    ### 1. Prerequisites
    
    Install MinIO either on Kubernetes or Distributed Linux.
    
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  5. docs/pt/docs/tutorial/extra-models.md

    }
    ```
    
    #### Desembrulhando um `dict`
    
    Se tomarmos um `dict` como `user_dict` e passarmos para uma função (ou classe) com `**user_dict`, o Python irá "desembrulhá-lo". Ele passará as chaves e valores do `user_dict` diretamente como argumentos chave-valor.
    
    Então, continuando com o `user_dict` acima, escrevendo:
    
    ```Python
    UserInDB(**user_dict)
    ```
    
    Resultaria em algo equivalente a:
    
    ```Python
    UserInDB(
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  6. docs/es/docs/features.md

    }
    
    my_second_user: User = User(**second_user_data)
    ```
    
    !!! info
        `**second_user_data` significa:
    
        Pasa las <abbr title="en español key se refiere a la guía de un diccionario">keys</abbr> y los valores del dict `second_user_data` directamente como argumentos de key-value, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`
    
    ### Soporte del editor
    
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  7. licenses/cel.dev/expr/LICENSE

          use, offer to sell, sell, import, and otherwise transfer the Work,
          where such license applies only to those patent claims licensable
          by such Contributor that are necessarily infringed by their
          Contribution(s) alone or by combination of their Contribution(s)
          with the Work to which such Contribution(s) was submitted. If You
          institute patent litigation against any entity (including a
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  8. CREDITS

          where such license applies only to those patent claims licensable
          by such Contributor that are necessarily infringed by their
          Contribution(s) alone or by combination of their Contribution(s)
          with the Work to which such Contribution(s) was submitted. If You
          institute patent litigation against any entity (including a
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  9. docs/pt/docs/features.md

        "joined": "2018-11-30",
    }
    
    my_second_user: User = User(**second_user_data)
    ```
    
    !!! info
        `**second_user_data` quer dizer:
    
        Passe as chaves e valores do dicionário `second_user_data` diretamente como argumentos chave-valor, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`
    
    ### Suporte de editores
    
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  10. CONTRIBUTING.md

    contributions, often because we probably won't get to them right now. If you
    decide to start on an issue, leave a comment so that other people know that
    you're working on it. If you want to help out, but not alone, use the issue
    comment thread to coordinate.
    
    ### Contribution guidelines and standards
    
    Before sending your pull request for
    [review](https://github.com/tensorflow/tensorflow/pulls),
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