### Type Annotations and Tooling

First let's see how editors, mypy and other tools would see this.

`BaseUser` has the base fields. Then `UserIn` inherits from `BaseUser` and adds the `password` field, so, it will include all the fields from both models.

We annotate the function return type as `BaseUser`, but we are actually returning a `UserIn` instance.

				}
			}

			for _, name := range []string{f.DBName, f.Name} {
				if name != "" {
					if field := s.LookUpField(name); field == nil || (field.Name != name && field.DBName != name) {
						t.Errorf("schema %v failed to look up field with dbname %v", s, f.DBName)
					}
				}
			}

			if f.PrimaryKey {
				var found bool

        catch ( IOException e ) {
            throw new PACDecodingException("Malformed kerberos ticket", e);
        }

        Enumeration<?> fields = sequence.getObjects();
        while ( fields.hasMoreElements() ) {
            ASN1TaggedObject tagged = ASN1Util.as(ASN1TaggedObject.class, fields);

            switch ( tagged.getTagNo() ) {
            case 0: // Ticket Flags
                break;
            case 1: // Key

Por exemplo, você pode usar isso para adicionar metadados para uma interface de usuário de front-end, etc.

///

## `Field` de argumentos adicionais

Ao usar `Field ()` com modelos Pydantic, você também pode declarar informações extras para o **JSON Schema** passando quaisquer outros argumentos arbitrários para a função.

// 	     runtime.TypeMeta    `json:",inline"`
// 	     ... // other fields
// 	}
//
// func (obj *MyAwesomeAPIObject) SetGroupVersionKind(gvk *metav1.GroupVersionKind) { metav1.UpdateTypeMeta(obj,gvk) }; GroupVersionKind() *GroupVersionKind
//
// TypeMeta is provided here for convenience. You may use it directly from this package or define
// your own with the same fields.
//
// +k8s:deepcopy-gen=false
// +protobuf=true

					href="#searchOptions" class="badge badge-primary"
					data-toggle="control-options"> <c:if
							test="${empty fields.label}">
							<la:message key="labels.searchoptions_all" />
						</c:if> <c:if test="${!empty fields.label}">
							<c:forEach var="sLabel" items="${fields.label}">
								<c:forEach var="item" items="${labelTypeItems}">
									<c:if test="${item.value==sLabel}">${f:h(item.label)}</c:if>

					href="#searchOptions" class="badge badge-primary"
					data-toggle="control-options"> <c:if
							test="${empty fields.label}">
							<la:message key="labels.searchoptions_all" />
						</c:if> <c:if test="${!empty fields.label}">
							<c:forEach var="sLabel" items="${fields.label}">
								<c:forEach var="item" items="${labelTypeItems}">
									<c:if test="${item.value==sLabel}">${f:h(item.label)}</c:if>

Например, вы можете использовать это для добавления дополнительной информации для пользовательского интерфейса в вашем веб-приложении и т.д.

///

## Дополнительные аргументы поля `Field`

При использовании `Field()` с моделями Pydantic, вы также можете объявлять дополнительную информацию для **JSON Schema**, передавая любые другие произвольные аргументы в функцию.

	user, err := schema.Parse(&UserWithPermissionControl{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("Failed to parse user with permission, got error %v", err)
	}

	fields := []*schema.Field{
		{Name: "ID", DBName: "id", BindNames: []string{"ID"}, DataType: schema.Uint, PrimaryKey: true, Size: 64, Creatable: true, Updatable: true, Readable: true, HasDefaultValue: true, AutoIncrement: true},

                try {
                    suggester.settings().array().add(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS, field);
                } catch (final SuggestSettingsException e) {
                    logger.warn("Failed to add {}", field, e);
                }
            }));
            suggester.createIndexIfNothing();