Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings` { #use-the-settings }

Then you can use the new `settings` object in your application:

{* ../../docs_src/settings/tutorial001_py39.py hl[18:20] *}

                  }
                  /*
                   * Also look up an earlier node so that, if the graph is using MapRetrievalCache,
                   * we read one of the fields declared in that class.
                   */
                  Set<Integer> unused = graph.successors(first);
                  return null;
                }
              }));
    }

  }

  /**
   * Compares two comparable objects as specified by {@link Comparable#compareTo}, <i>if</i> the
   * result of this comparison chain has not already been determined.
   *
   * <p>This method is declared to accept any 2 {@code Comparable} objects, even if they are not <a
   * href="https://docs.oracle.com/javase/tutorial/collections/interfaces/order.html">mutually

                if (validationReportLevel == ValidationReportLevel.VERBOSE) {
                    if (!issues.pluginDeclarations.isEmpty()) {
                        logger.warn("  Declared at location(s):");
                        for (String pluginDeclaration : issues.pluginDeclarations) {
                            logger.warn("   * {}", pluginDeclaration);
                        }
                    }

Si no se especifica y la dependencia tiene `yield`, tendrá un `scope` de `"request"` por defecto.

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

Cuando declaras una dependencia con `scope="request"` (el valor por defecto), cualquier sub-dependencia también necesita tener un `scope` de `"request"`.

# Объявление примеров данных запроса { #declare-request-example-data }

Вы можете объявлять примеры данных, которые ваше приложение может получать.

Вот несколько способов, как это сделать.

## Дополнительные данные JSON Schema в моделях Pydantic { #extra-json-schema-data-in-pydantic-models }

Вы можете объявить `examples` для модели Pydantic, которые будут добавлены в сгенерированную JSON Schema.

//// tab | Pydantic v2

///

### Einen *Pfad-Parameter* deklarieren { #declare-a-path-parameter }

Dann erstellen Sie einen *Pfad-Parameter*, der als Typ die gerade erstellte Enum-Klasse hat (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py39.py hl[16] *}

        fw.println("#");
        fw.println("# The checker does not handle implicit section names, so they must be explicit and declared as: [[section-name]]");
        fw.println("#");
        fw.println("# The checker also rejects Markdown-style links, such as [text](https://example.com/something) as they do not render properly");

    }

If you go to `/docs`, you will see that it has the **schemas** for the data to be sent in requests and received in responses:

<img src="/img/tutorial/generate-clients/image01.png">

You can see those schemas because they were declared with the models in the app.

That information is available in the app's **OpenAPI schema**, and then shown in the API docs.

                  }
                  /*
                   * Also look up an earlier node so that, if the graph is using MapRetrievalCache,
                   * we read one of the fields declared in that class.
                   */
                  Set<Integer> unused = graph.successors(first);
                  return null;
                }
              }));
    }