You could still use most of the features in **FastAPI** with the knowledge from the main [Tutorial - User Guide](../tutorial/index.md).

 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because
 * they end up depending on <i>other</i> existing poor-quality {@code hashCode} implementations,
 * including those in many JDK classes.
 *
 * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision
 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for

   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  @get:Synchronized
  var maxRequests = 64
    set(maxRequests) {
      require(maxRequests >= 1) { "max < 1: $maxRequests" }
      synchronized(this) {

Ce n'est probablement pas aussi important ou nécessaire si vous utilisez `Annotated`.

///

Disons que vous voulez déclarer le paramètre de requête `q` comme un `str` requis.

Et vous n'avez pas besoin de déclarer autre chose pour ce paramètre, donc vous n'avez pas vraiment besoin d'utiliser `Query`.

Mais vous avez toujours besoin d'utiliser `Path` pour le paramètre de chemin `item_id`. Et vous ne voulez pas utiliser `Annotated` pour une raison quelconque.

   * `Synchronized` doesn't guarantee that it will hold the mutex for those calls because callers
   * are responsible for taking the mutex themselves:
   * https://docs.oracle.com/en/java/javase/22/docs/api/java.base/java/util/Collections.html#synchronizedCollection(java.util.Collection)
   *
   * Similarly, we avoid having those methods *implemented* in terms of *other* TestSet methods
   * that will perform holdsLock assertions:

à :

```Python
    first_name: str, last_name: str
```

C'est tout.

Ce sont les « annotations de type » :

{* ../../docs_src/python_types/tutorial002_py310.py hl[1] *}

Ce n'est pas la même chose que de déclarer des valeurs par défaut, ce qui serait :

```Python
    first_name="john", last_name="doe"
```

C'est différent.

Nous utilisons des deux-points (`:`), pas des signes égal (`=`).

If you added the return type annotation, tools and editors would complain with a (correct) error telling you that your function is returning a type (e.g. a dict) that is different from what you declared (e.g. a Pydantic model).

In those cases, you can use the *path operation decorator* parameter `response_model` instead of the return type.

You can use the `response_model` parameter in any of the *path operations*:

* `@app.get()`
* `@app.post()`

   * `Synchronized` doesn't guarantee that it will hold the mutex for those calls because callers
   * are responsible for taking the mutex themselves:
   * https://docs.oracle.com/en/java/javase/22/docs/api/java.base/java/util/Collections.html#synchronizedCollection(java.util.Collection)
   *
   * Similarly, we avoid having those methods *implemented* in terms of *other* TestSet methods
   * that will perform holdsLock assertions:

## Code asynchrone { #asynchronous-code }

Faire du code asynchrone signifie que le langage 💬 est capable de dire à l'ordinateur / au programme 🤖 qu'à un moment du code, il 🤖 devra attendre que *quelque chose d'autre* se termine autre part. Disons que ce *quelque chose d'autre* est appelé « slow-file » 📝.

Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que « slow-file » 📝 se termine.

your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a
filesystem path), a maliciously created checkpoint might be able to change the
targets of those operations, which could result in arbitrary
read/write/executions.

### Running a TensorFlow server