* Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.
    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:

    throw new UnsupportedOperationException();
  }

  /**
   * {@inheritDoc}
   *
   * <p>This implementation of {@code getAllPresent} lacks any insight into the internal cache data
   * structure, and is thus forced to return the query keys instead of the cached keys. This is only
   * possible with an unsafe cast which requires {@code keys} to actually be of type {@code K}.
   *
   * @since 11.0
   */
  /*

    // TODO take repo mans into account as one may be aggregating prefixes of many
    // TODO collect at the root of the repository, read the one at the root, and fetch remote if something is missing
    // or the user forces the issue

    private List<MojoExecution> calculateForkedGoal(
            MojoExecution mojoExecution,
            MavenSession session,
            MavenProject project,

Le schéma inclut les chemins de votre API, les paramètres potentiels de chaque chemin, etc.

#### "Schéma" de données

Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON.

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema

## Les modèles Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> est une bibliothèque Python pour effectuer de la validation de données.

Vous déclarez la forme de la donnée avec des classes et des attributs.

Chaque attribut possède un type.

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

     *            initiated by the client (MSIE post requests after successful NTLM SSP
     *            authentication). If false and the user has not been authenticated yet
     *            the client will be forced to send an authentication (server sends
     *            HttpServletResponse.SC_UNAUTHORIZED).
     * @return True if the negotiation is complete, otherwise false
     * @throws IOException if an I/O error occurs

O patrocínio também demonstra um forte compromisso com a **comunidade** FastAPI (você), mostrando que elas se importam não apenas em oferecer um **ótimo serviço**, mas também em apoiar um **framework robusto e próspero**, o FastAPI. 🙇

// record is formatted as:
//
//	"%d %s=%s\n" % (size, key, value)
//
// Keys and values should be UTF-8, but the number of bad writers out there
// forces us to be a more liberal.
// Thus, we only reject all keys with NUL, and only reject NULs in values
// for the PAX version of the USTAR string fields.
// The key must not contain an '=' character.

                request.getRemoteRepositories());

        if (cached != null
                // if the POM has no file, we cached a missing artifact, only return the cached data if no update forced
                && (!request.isForceUpdate() || hasFile(cached.getPomArtifact()))) {
            return cached;
        }

        List<Dependency> dependencies;