"application/atomcat+xml",
				"application/atomicmail",
				"application/atomsvc+xml",
				"application/auth-policy+xml",
				"application/batch-smtp",
				"application/beep+xml",
				"application/bizagi-modeler",
				"application/cals-1840",
				"application/ccxml+xml",
				"application/cea-2018+xml",
				"application/cellml+xml",
				"application/cnrp+xml",
				"application/commonground",

* Documentation automatique des modèles de données avec <a href="http://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (comme OpenAPI est aussi basée sur JSON Schema).

    <glob pattern="*.cmd"/>
  </mime-type>

  <mime-type type="application/batch-smtp"/>
  <mime-type type="application/beep+xml"/>

  <mime-type type="application/bizagi-modeler">
    <_comment>BizAgi Process Modeler</_comment>
    <sub-class-of type="application/zip"/>
    <glob pattern="*.bpm"/>
  </mime-type>

  <mime-type type="application/cals-1840"/>

  <mime-type type="application/cbor">

    * les types Python (`str`, `int`, `float`, `bool`, `list`, etc).
    * les objets `datetime`.
    * les objets `UUID`.
    * les modèles de base de données.
    * ... et beaucoup plus.
* La documentation API interactive automatique, avec 2 interfaces utilisateur au choix :
    * Swagger UI.
    * ReDoc.

---

Il ne peut pas très bien gérer les modèles imbriqués. Ainsi, si le corps JSON de la requête est un objet JSON comportant des champs internes qui sont à leur tour des objets JSON imbriqués, il ne peut pas être correctement documenté et validé.

</p>

<p>
The memory model describes the requirements on program executions,
which are made up of goroutine executions,
which in turn are made up of memory operations.
</p>

<p>
A <i>memory operation</i> is modeled by four details:
</p>
<ul>
	<li>its kind, indicating whether it is an ordinary data read, an ordinary data write,
    or a <i>synchronizing operation</i> such as an atomic data access,

			minio.PutObjectOptions{DisableContentSha256: true},
		)
		return err
	}

	return NotImplemented{}
}

type listerAt []os.FileInfo

// Modeled after strings.Reader's ReadAt() implementation
func (f listerAt) ListAt(ls []os.FileInfo, offset int64) (int, error) {
	var n int
	if offset >= int64(len(f)) {
		return 0, io.EOF
	}
	n = copy(ls, f[offset:])

Vous pouvez aussi retourner des models **Pydantic** (qui seront détaillés plus tard).

Il y a de nombreux autres objets et modèles qui seront automatiquement convertis en JSON. Essayez d'utiliser vos favoris, il est fort probable qu'ils soient déjà supportés.

## Récapitulatif

* Importez `FastAPI`.
* Créez une instance d'`app`.

   * example is when a server has just booted, and it is mostly busy with getting itself up to
   * speed).
   *
   * To deal with such scenarios, we add an extra dimension, that of "past underutilization",
   * modeled by "storedPermits" variable. This variable is zero when there is no underutilization,
   * and it can grow up to maxStoredPermits, for sufficiently large underutilization. So, the

Kullanımı çok kolay ve sezgisel, kolaylıkla genişletilebilecek ve modüler bileşenlere sahip olacak şekilde tasarlandı.

Sahip olduğu bir kaç özellik:

* Cidden etkileyici bir performans.
* WebSocket desteği.
* İşlem-içi arka plan görevleri.
* Başlatma ve kapatma olayları.