* override one or more methods to modify the behavior of the backing set as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingNavigableSet} forward <i>indiscriminately</i>
 * to the methods of the delegate. For example, overriding {@link #add} alone <i>will not</i> change

/**
 * A map which forwards all its method calls to another map. Subclasses should override one or more
 * methods to modify the behavior of the backing map as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingMap} forward <i>indiscriminately</i> to the
 * methods of the delegate. For example, overriding {@link #put} alone <i>will not</i> change the

* **Uitbreidbaar**:
    * Met Pydantic kunnen op maat gemaakte datatypen worden gedefinieerd of je kunt validatie uitbreiden met methoden op een model dat is ingericht met de decorator validator.

* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

 * one or more methods to modify the behavior of the backing multiset as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingMultiset} forward <b>indiscriminately</b> to
 * the methods of the delegate. For example, overriding {@link #add(Object, int)} alone <b>will

That's it.

**2 lines**.

And it has the same shape and structure that all your *path operation functions* have.

You can think of it as a *path operation function* without the "decorator" (without the `@app.get("/some-path")`).

And it can return anything you want.

In this case, this dependency expects:

* An optional query parameter `q` that is a `str`.

Lo importante es que usando los tipos de Python estándar en un único lugar (en vez de añadir más clases, decorator, etc.) **FastAPI** hará mucho del trabajo por ti.

/// info | Información

* el path `/`
* usando una <abbr title="an HTTP GET method">operación <code>get</code></abbr>

/// info | Información sobre `@decorator`

Esa sintaxis `@algo` se llama un "decorador" en Python.

Lo pones encima de una función. Es como un lindo sombrero decorado (creo que de ahí salió el concepto).

                  "max_stream_duration": {
                   "max_stream_duration": "0s",
                   "grpc_timeout_header_max": "0s"
                  }
                 },
                 "decorator": {
                  "operation": ":0/*"
                 },
                 "name": "default"
                }
               ]
              }
             ],

* **قابل توسعه**:
    * Pydantic اجازه میدهد تا data type های سفارشی تعریف شوند یا میتوانید اعتبارسنجی را با روش هایی به روی مدل ها با <abbr title="دکوریتور های اعتبارسنج">validator decorator</abbr> گسترش دهید.