Vous faites cela avec les types Python standard modernes.

Vous n'avez pas à apprendre une nouvelle syntaxe, les méthodes ou les classes d'une bibliothèque spécifique, etc.

Juste du **Python** standard.

Par exemple, pour un `int`:

```Python
item_id: int
```

ou pour un modèle `Item` plus complexe :

```Python

   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is
   *       detected, sacrificing the compactness guarantee in very rare cases in exchange for much
   *       more reliable worst-case behavior.
   *   <li>null, if no entries have yet been added to the map
   * </ul>
   */
  private transient @Nullable Object table;

  /**

         * behavior on all platforms, TypeResolver must return the appropriate TypeVariable
         * implementation in each of the three possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.
         * Therefore, we can always create our own TypeVariable. (One downside of our TypeVariable

            assertEquals(0L, freshInfo.getFree());
            assertEquals(FileSystemInformation.FS_FULL_SIZE_INFO, freshInfo.getFileSystemInformationClass());
        }
    }

    @Nested
    @DisplayName("Edge Cases and Real-World Scenarios")
    class EdgeCasesAndRealWorldTests {

        @Test
        @DisplayName("Should handle typical Windows NTFS configuration")

Mas ele foi criado antes de existirem as anotações de tipo do Python. Então, para definir cada <abbr title="a definição de como os dados devem ser formados">schema</abbr> você precisa utilizar utilitários e classes específicos fornecidos pelo Marshmallow.

/// check | **FastAPI** inspirado para

Usar código para definir "schemas" que forneçam, automaticamente, tipos de dados e validação.

///

### Recap { #recap }

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

or for a more complex `Item` model:

```Python
item: Item
```

                    name = values[values.length - 1];
                }
            }
        }

        /**
         * Normalizes the URL string by cleaning up multiple slashes and resolving relative paths.
         * This method ensures the URL is in a consistent format for FTP operations.
         *
         * @param s The URL string to normalize
         * @return The normalized URL string

   * timeouts (due to a problem with the transport). When a stream times out we don't know whether
   * the problem impacts just one stream or the entire connection.
   *
   * To differentiate the two cases we ping the server when a stream times out. If the overall
   * connection is fine the ping will receive a pong; otherwise it won't.
   *

En resumen, declaras **una vez** los tipos de parámetros, body, etc. como parámetros de función.

Lo haces con tipos estándar modernos de Python.

No tienes que aprender una nueva sintaxis, los métodos o clases de un paquete específico, etc.

Solo **Python** estándar.

Por ejemplo, para un `int`:

```Python
item_id: int
```

o para un modelo `Item` más complejo:

```Python
item: Item

     * </p>
     * <p>
     * If <code>type</code> is a parameterized type but has no direct type arguments, an empty array is returned.
     * This includes cases where the parameterized type contains nested types without type arguments.
     * </p>
     * <p>
     * If <code>type</code> is not a parameterized type, <code>null</code> is returned.
     * </p>
     *