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  1. docs/en/docs/advanced/response-headers.md

    ## Use a `Response` parameter
    
    You can declare a parameter of type `Response` in your *path operation function* (as you can do for cookies).
    
    And then you can set headers in that *temporal* response object.
    
    ```Python hl_lines="1  7-8"
    {!../../docs_src/response_headers/tutorial002.py!}
    ```
    
    And then you can return any object you need, as you normally would (a `dict`, a database model, etc).
    
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  2. android/guava/src/com/google/common/io/Closer.java

       *
       * @return this method does not return; it always throws
       * @throws IOException when the given throwable is an IOException
       * @throws X1 when the given throwable is of the declared type X1
       * @throws X2 when the given throwable is of the declared type X2
       */
      public <X1 extends Exception, X2 extends Exception> RuntimeException rethrow(
          Throwable e, Class<X1> declaredType1, Class<X2> declaredType2) throws IOException, X1, X2 {
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  3. docs/en/docs/advanced/response-cookies.md

    ## Use a `Response` parameter
    
    You can declare a parameter of type `Response` in your *path operation function*.
    
    And then you can set cookies in that *temporal* response object.
    
    ```Python hl_lines="1  8-9"
    {!../../docs_src/response_cookies/tutorial002.py!}
    ```
    
    And then you can return any object you need, as you normally would (a `dict`, a database model, etc).
    
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  4. docs/es/docs/python-types.md

    {!../../docs_src/python_types/tutorial004.py!}
    ```
    
    ## Declarando tipos
    
    Acabas de ver el lugar principal para declarar los type hints. Como parámetros de las funciones.
    
    Este es también el lugar principal en que los usarías con  **FastAPI**.
    
    ### Tipos simples
    
    Puedes declarar todos los tipos estándar de Python, no solamente  `str`.
    
    Por ejemplo, puedes usar:
    
    * `int`
    * `float`
    * `bool`
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  5. docs/pt/docs/advanced/security/oauth2-scopes.md

                                * `security_scopes.scopes` terá `[]` (nada) para a *operação de rota* `read_system_status`, porque ele não declarou nenhum `Security` com `scopes`, e sua dependência, `get_current_user`, não declara nenhum `scopes` também.
    
    /// tip | Dica
    
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  6. docs/fr/docs/tutorial/path-params-numeric-validations.md

    ///
    
    ## Déclarer des métadonnées
    
    Vous pouvez déclarer les mêmes paramètres que pour `Query`.
    
    Par exemple, pour déclarer une valeur de métadonnée `title` pour le paramètre de chemin `item_id`, vous pouvez écrire :
    
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  7. docs/en/docs/advanced/using-request-directly.md

    Although any other parameter declared normally (for example, the body with a Pydantic model) would still be validated, converted, annotated, etc.
    
    But there are specific cases where it's useful to get the `Request` object.
    
    ## Use the `Request` object directly
    
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  8. guava/src/com/google/common/io/Closer.java

       *
       * @return this method does not return; it always throws
       * @throws IOException when the given throwable is an IOException
       * @throws X1 when the given throwable is of the declared type X1
       * @throws X2 when the given throwable is of the declared type X2
       */
      public <X1 extends Exception, X2 extends Exception> RuntimeException rethrow(
          Throwable e, Class<X1> declaredType1, Class<X2> declaredType2) throws IOException, X1, X2 {
    Registered: Fri Nov 01 12:43:10 UTC 2024
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  9. docs/pt/docs/tutorial/path-params.md

    ///
    
    	Se você está se perguntando, "AlexNet", "ResNet", e "LeNet" são apenas nomes de <abbr title="técnicamente, modelos de arquitetura de Deep Learning">modelos</abbr> de Machine Learning (aprendizado de máquina).
    
    ### Declare um *parâmetro de rota*
    
    Logo, crie um *parâmetro de rota* com anotações de tipo usando a classe enum que você criou (`ModelName`):
    
    ```Python hl_lines="16"
    {!../../docs_src/path_params/tutorial005.py!}
    ```
    
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  10. fastapi/param_functions.py

                the dependency is declared again for the rest of the request (for example
                if the dependency is needed by several dependencies), the value will be
                re-used for the rest of the request.
    
                Set `use_cache` to `False` to disable this behavior and ensure the
                dependency is called again (if declared more than once) in the same request.
                """
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