<version>2.0.0+</version>
          <type>String</type>
          <defaultValue><![CDATA[]]></defaultValue>
          <description><![CDATA[If specified, identifies this phase as a dynamic phase to decorate the specified phase id, e.g. {@code after} or {@code before}.]]></description>
        </field>
        <field xml.attribute="true">
          <name>priority</name>
          <required>false</required>

   * right before each task is run. The renaming is best effort, if a {@link SecurityManager}
   * prevents the renaming then it will be skipped but the tasks will still execute.
   *
   * @param executor The executor to decorate
   * @param nameSupplier The source of names for each task
   */
  @J2ktIncompatible
  @GwtIncompatible // concurrency
  static Executor renamingDecorator(final Executor executor, final Supplier<String> nameSupplier) {

And it also includes a default exception handler for it.

To override it, import the `RequestValidationError` and use it with `@app.exception_handler(RequestValidationError)` to decorate the exception handler.

The exception handler will receive a `Request` and the exception.

```Python hl_lines="2  14-16"
{!../../docs_src/handling_errors/tutorial004.py!}
```

                    .build());
            options.addOption(Option.builder()
                    .longOpt(RAW_STREAMS)
                    .desc("Do not decorate standard output and error streams")
                    .build());
            options.addOption(Option.builder(SHOW_VERSION)
                    .longOpt("show-version")

* <a href="https://docs.python.org/3/library/contextlib.html#contextlib.asynccontextmanager" class="external-link" target="_blank">`@contextlib.asynccontextmanager`</a>

using them to decorate a function with a single `yield`.

That's what **FastAPI** uses internally for dependencies with `yield`.

But you don't have to use the decorators for FastAPI dependencies (and you shouldn't).

        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,

/// 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()`

For those cases, instead of declaring a *path operation function* parameter with `Depends`, you can add a `list` of `dependencies` to the *path operation decorator*.

## Add `dependencies` to the *path operation decorator*

The *path operation decorator* receives an optional argument `dependencies`.

It should be a `list` of `Depends()`:

//// tab | Python 3.9+

```Python hl_lines="19"

* 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).

Un "decorador" toma la función que tiene debajo y hace algo con ella.