if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
			return
		}
	}
	addErr := func(msg string) {}

	// Write a version for making *incompatible* changes.
	// The AdminClient will reject any version it does not know.
	var inspectZipW *zip.Writer
	if publicKey != nil {
		w.WriteHeader(200)
		stream := estream.NewWriter(w)
		defer stream.Close()

     * to resolve SIDs using a cache and cache the results of any SIDs that
     * required resolving with the authority. SID cache entries are currently not
     * expired because under normal circumstances SID information never changes.
     *

 │  fastapi run                                        │
 │                                                     │
 ╰─────────────────────────────────────────────────────╯

INFO:     Will watch for changes in these directories: ['/home/user/code/awesomeapp']
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [2248755] using WatchFiles

	return nil
}

// IAMChangeHook - called when IAM items need to be replicated to peer clusters.
// This includes named policy creation, policy mapping changes and service
// account changes.
//
// All policies are replicated.
//
// Policy mappings are only replicated when they are for LDAP users or groups
// (as an external IDP is always assumed when SR is used). In the case of

L'idée de code **asynchrone** décrite ci-dessus est parfois aussi appelée **"concurrence"**. Ce qui est différent du **"parallélisme"**.

La **concurrence** et le **parallélisme** sont tous deux liés à l'idée de "différentes choses arrivant plus ou moins au même moment".

Mais les détails entre la **concurrence** et le **parallélisme** diffèrent sur de nombreux points.

Pour expliquer la différence, voici une histoire de burgers :

   * appear in either that iterator or any other iterator created from the same source iterable.
   * That is, this method behaves exactly as {@code Iterables.cycle(Lists.newArrayList(elements))}.
   * The iterator's {@code hasNext} method returns {@code true} until all of the original elements
   * have been removed.
   *
   * <p><b>Warning:</b> Typical uses of the resulting iterator may produce an infinite loop. You

	bootstrapTraceMsg("finishing IAM loading")
}

const maxDurationSecondsForLog = 5

func (sys *IAMSys) periodicRoutines(ctx context.Context, baseInterval time.Duration) {
	// Watch for IAM config changes for iamStorageWatcher.
	watcher, isWatcher := sys.store.IAMStorageAPI.(iamStorageWatcher)
	if isWatcher {
		go func() {
			ch := watcher.watch(ctx, iamConfigPrefix)
			for event := range ch {

seemed to rise like a stalk out of a sea of green leaves that lay
far below her.

  `What CAN all that green stuff be?' said Alice.  `And where
HAVE my shoulders got to?  And oh, my poor hands, how is it I
can't see you?'  She was moving them about as she spoke, but no
result seemed to follow, except a little shaking among the
distant green leaves.

  As there seemed to be no chance of getting her hands up to her

**Spoiler alert** : le tutoriel - guide utilisateur inclut :

* Déclaration de **paramètres** provenant d'autres endroits différents comme : **<abbr title="en anglais : headers">en-têtes</abbr>.**, **cookies**, **champs de formulaire** et **fichiers**.
* L'utilisation de **contraintes de validation** comme `maximum_length` ou `regex`.

### Resumen { #recap }

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
```