* @see java.util.Collection the definition of general-purpose collections.
   */
  GENERAL_PURPOSE(SUPPORTS_ADD, SUPPORTS_REMOVE, SUPPORTS_ITERATOR_REMOVE),

  /** Features supported by collections where only removal is allowed. */
  REMOVE_OPERATIONS(SUPPORTS_REMOVE, SUPPORTS_ITERATOR_REMOVE),

  SERIALIZABLE,
  SERIALIZABLE_INCLUDING_VIEWS(SERIALIZABLE),

  SUBSET_VIEW,
  DESCENDING_VIEW,

  /**

     *
     * Performance: O(1) operation using concurrent queue
     *
     * @return a byte buffer for SMB operations
     * @throws IllegalStateException if buffer size exceeds maximum allowed
     */
    static public byte[] getBuffer() {
        // Try to get from cache first - O(1) operation
        byte[] buf = bufferQueue.poll();
        if (buf != null) {
            queueSize.decrementAndGet();

   *   <li>The subdelimiters "!", "$", "&amp;", "'", "(", ")", "*", "+", ",", ";", and "=" remain
   *       the same.
   *   <li>The space character " " is converted into %20.
   *   <li>Fragments allow unescaped "/" and "?", so they remain the same.
   *   <li>All other characters are converted into one or more bytes using UTF-8 encoding and each

# specific language governing permissions and limitations
# under the License.

name: Java CI

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

# allow single build per branch or PR
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

# clear all permissions for GITHUB_TOKEN
permissions: {}

jobs:
  initial-build:

Flask is a "microframework", it doesn't include database integrations nor many of the things that come by default in Django.

This simplicity and flexibility allow doing things like using NoSQL databases as the main data storage system.

As it is very simple, it's relatively intuitive to learn, although the documentation gets somewhat technical at some points.

| user               | string                                  | Identifier for owner of requested credentials          |
| maxValiditySeconds | integer (>= 900 seconds and < 365 days) | Maximum allowed expiry duration for the credentials    |
| claims             | key-value pairs                         | Claims to be associated with the requested credentials |

* `GET` : pour lire de la donnée.
* `PUT` : pour mettre à jour de la donnée.
* `DELETE` : pour supprimer de la donnée.

Donc, dans **OpenAPI**, chaque méthode HTTP est appelée une "opération".

Nous allons donc aussi appeler ces dernières des "**opérations**".


#### Définir un *décorateur d'opération de chemin*

{* ../../docs_src/first_steps/tutorial001.py hl[6] *}

Le `Union` dans `Union[str, None]` permettra à votre éditeur de vous offrir un meilleur support et de détecter les erreurs.

///

## Validation additionnelle

Nous allons imposer que bien que `q` soit un paramètre optionnel, dès qu'il est fourni, **sa longueur n'excède pas 50 caractères**.

## Importer `Query`

Pour cela, importez d'abord `Query` depuis `fastapi` :

Sie können diesen Teil wahrscheinlich überspringen.

///

      int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashSet based