// ===================================================================================
    //                                                                           Attribute
    //                                                                           =========
    protected List<QueryBuilder> queryBuilderList;
    protected List<FieldSortBuilder> fieldSortBuilderList;

```

////

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

//// tab | Pydantic v2

In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

    /**
     * Gets the root directory of the top project, which is the parent directory containing the {@code .mvn}
     * directory or a {@code pom.xml} file with the {@code root="true"} attribute.
     * If there's no such directory, an {@code IllegalStateException} will be thrown.
     *
     * @throws IllegalStateException if the root directory could not be found
     * @see #getTopDirectory()

    // ===================================================================================
    //                                                                           Attribute
    //                                                                           =========

    // ===================================================================================

   |-->
  <servers>
    <!-- server
     | Specifies the authentication information to use when connecting to a particular server, identified by
     | a unique name within the system (referred to by the 'id' attribute below).
     |
     | NOTE: You should either specify username/password OR privateKey/passphrase, since these pairings are
     |       used together.
     |
    <server>
      <id>deploymentRepo</id>

    // Constant
    //
    private static final Logger logger = LogManager.getLogger(AdminSearchlistAction.class);

    // ===================================================================================
    // Attribute
    // =========

    @Resource
    protected SearchEngineClient searchEngineClient;

    @Resource
    protected QueryHelper queryHelper;

    @Resource
    protected SearchHelper searchHelper;

    // ===================================================================================
    //                                                                           Attribute
    //                                                                           =========
    @Resource
    private CharMappingService charMappingService;
    @Resource
    private CharMappingPager charMappingPager;

	}
}

// symRefAttrs parses an optional function symbol attribute clause for
// the function symbol 'name', logging an error for a malformed
// attribute clause if 'issueError' is true. The return value is a
// (boolean, ABI) pair indicating that the named symbol is either
// static or a particular ABI specification.
//
// The expected form of the attribute clause is:
//
// empty,           yielding (false, obj.ABI0)

<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.

        assertThat(request.getUserProperties().getProperty("x"), is("false"));
    }

    @Test
    public void findRootProjectWithAttribute() {
        Path test = Paths.get("src/test/projects/root-attribute");
        assertEquals(test, new DefaultRootLocator().findRoot(test.resolve("child")));
    }

    @Test
    public void testPropertiesInterpolation() throws Exception {