def decorator(func: DecoratedCallable) -> DecoratedCallable:
            self.add_route(
                path,
                func,
                methods=methods,
                name=name,
                include_in_schema=include_in_schema,
            )
            return func

        return decorator

    def add_api_route(
        self,

        ```
        """

        def decorator(func: DecoratedCallable) -> DecoratedCallable:
            self.add_api_websocket_route(
                path,
                func,
                name=name,
                dependencies=dependencies,
            )
            return func

        return decorator

    def include_router(
        self,

    allowing two Stateful Set pods to share the same persistent volume which could lead to data
    corruption [#37263](https://github.com/kubernetes/kubernetes/pull/37263)


* Allow anonymous API server access, decorate authenticated users with system:authenticated group ([#32386](https://github.com/kubernetes/kubernetes/pull/32386), [@liggitt](https://github.com/liggitt))

import java.io.Serializable;

/**
 * An abstract base class for implementing the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>. The {@link
 * #delegate()} method must be overridden to return the instance being decorated.
 *
 * <p>This class does <i>not</i> forward the {@code hashCode} and {@code equals} methods through to

 * Takes a rendered release notes HTML file and decorates it with extra elements/content/links.
 */
@CacheableTask
public abstract class DecorateReleaseNotes extends DefaultTask {
    /**
     * The rendered HTML release notes that need decoration.
     */
    @InputFile
    @PathSensitive(PathSensitivity.NONE)
    public abstract RegularFileProperty getHtmlFile();

    /**
     * The decorated HTML file
     */
    @OutputFile

/// info | "`@décorateur` Info"

Cette syntaxe `@something` en Python est appelée un "décorateur".

Vous la mettez au dessus d'une fonction. Comme un joli chapeau décoratif (j'imagine que ce terme vient de là 🤷🏻‍♂).

Un "décorateur" prend la fonction en dessous et en fait quelque chose.

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

A "decorator" takes the function below and does something with it.

In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`.

It is the "**path operation decorator**".

///

You can also use the other operations:

* `@app.post()`

* **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>

@app.api_route("/items/{item_id}", methods=["GET"])
def get_items(item_id: str):
    return {"item_id": item_id}


def get_not_decorated(item_id: str):
    return {"item_id": item_id}


app.add_api_route("/items-not-decorated/{item_id}", get_not_decorated)


@app.delete("/items/{item_id}")
def delete_item(item_id: str, item: Item):
    return {"item_id": item_id, "item": item}


@app.head("/items/{item_id}")

    response = client.get("/decorator-depends/?q=foo")
    assert response.status_code == 200
    assert response.json() == {"in": "decorator-depends"}


def test_decorator_depends_q_foo_skip_100_limit_200():
    response = client.get("/decorator-depends/?q=foo&skip=100&limit=200")
    assert response.status_code == 200
    assert response.json() == {"in": "decorator-depends"}


def test_router_depends():