S'il n'est pas spécifié et que la dépendance utilise `yield`, le `scope` sera par défaut « request ».

### Définir `scope` pour les sous-dépendances { #scope-for-sub-dependencies }

        } catch (final Exception e) {
            return url;
        }
    }

    /**
     * Gets the character encoding for a parent URL from cache or data service.
     * Caches encoding information to improve performance on subsequent requests.
     *
     * @param parentUrl the parent URL to get encoding for
     * @param sessionId the session ID for the crawling session

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### À propos de `**user_dict` { #about-user-dict }

`UserInDB(**user_dict)` signifie :

Passez les clés et valeurs de `user_dict` directement comme arguments clé‑valeur, équivalent à :

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],

                }
            }
        }
        return null;
    }

    /**
     * Stores the document IDs associated with a search query for tracking purposes.
     * This method caches the document IDs returned for a specific query to enable click tracking and analytics.
     *
     * @param queryId the unique identifier for the search query

If not specified and the dependency has `yield`, it will have a `scope` of `"request"` by default.

### `scope` for sub-dependencies { #scope-for-sub-dependencies }

- **Collections** (`org.codelibs.core.collection`) - Enhanced collection utilities, array operations, and specialized map/set implementations including LRU caches and case-insensitive collections
- **I/O Operations** (`org.codelibs.core.io`) - File handling, resource management, stream utilities, and traversal utilities for efficient resource processing

          }

          @Override
          public void remove() {
            listIter.remove();
          }
        };
  }

  static <T extends @Nullable Object> Iterator<T> cycle(Iterable<T> iterable) {
    return new Iterator<T>() {
      Iterator<T> iterator = Collections.<T>emptySet().iterator();

      @Override
      public boolean hasNext() {
        return true;
      }

            ImmutableSet.of("d", "c", "b", "a"));
    for (boolean byAscendingSize : new boolean[] {true, false}) {
      Iterable<ImmutableSet<String>> infiniteSets =
          Iterables.cycle(
              byAscendingSize
                  ? distinctCandidatesByAscendingSize
                  : Lists.reverse(distinctCandidatesByAscendingSize));
      for (int startIndex = 0;

Le premier paramètre de type est pour les clés du `dict`.

Le second paramètre de type est pour les valeurs du `dict` :

{* ../../docs_src/python_types/tutorial008_py310.py hl[1] *}

Cela signifie :

* La variable `prices` est un `dict` :
    * Les clés de ce `dict` sont de type `str` (disons, le nom de chaque article).

                 * be cached and cause other types to fail even though they may
                 * not be the authority for the name. For example, if a WINS lookup
                 * for FOO fails and caches unknownAddress for FOO, a subsequent
                 * lookup for FOO using BCAST should not fail because of that
                 * name cached from WINS.
                 *