Em ambos os casos teremos:

* Um parâmetro de consulta `q` opcional do tipo `str`.
* Um parâmetro de consulta `skip` do tipo `int`, com valor padrão `0`.
* Um parâmetro de consulta `limit` do tipo `int`, com valor padrão `100`.

Os dados serão convertidos, validados, documentados no esquema da OpenAPI e etc nos dois casos.

## Utilizando

Agora você pode declarar sua dependência utilizando essa classe.

In both cases, it will have:

* An optional `q` query parameter that is a `str`.
* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it { #use-it }

                return List.of("Zebra", "Apple", "Banana").stream().sorted().collect(java.util.stream.Collectors.toList());
            }
        };

        List<String> names = testFactory.loadDataStoreNameList();
        assertEquals(3, names.size());
        assertEquals("Apple", names.get(0));
        assertEquals("Banana", names.get(1));
        assertEquals("Zebra", names.get(2));
    }

     * @return JSON response containing list of data config settings
     */
    // GET /api/admin/dataconfig/settings
    // PUT /api/admin/dataconfig/settings
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {
        validateApi(body, messages -> {});
        final DataConfigPager pager = copyBeanToNewBean(body, DataConfigPager.class);
        final List<DataConfig> list = dataConfigService.getDataConfigList(pager);

        final FileAuthPager pager = copyBeanToNewBean(body, FileAuthPager.class);
        final List<FileAuthentication> list = fileAuthService.getFileAuthenticationList(pager);
        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())
                        .status(ApiResult.Status.OK)

  }

  static final class KeySet<K> extends ImmutableSet<K> {
    private final transient ImmutableMap<K, ?> map;
    private final transient ImmutableList<K> list;

    KeySet(ImmutableMap<K, ?> map, ImmutableList<K> list) {
      this.map = map;
      this.list = list;
    }

    @Override
    public UnmodifiableIterator<K> iterator() {
      return asList().iterator();
    }

    @Override

    @Resource
    private ProtwordsService protwordsService;

    /**
     * Retrieve list of protected words entries for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body search criteria and paging parameters
     * @return JSON response containing list of entries
     */
    // GET /api/admin/dict/protwords/settings/{dictId}
    @Execute

     * @return JSON response containing scheduler settings list
     */
    // GET /api/admin/scheduler
    // PUT /api/admin/scheduler
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {
        validateApi(body, messages -> {});
        final SchedulerPager pager = copyBeanToNewBean(body, SchedulerPager.class);
        final List<ScheduledJob> list = scheduledJobService.getScheduledJobList(pager);

    /**
     * Returns an immutable list of project remote repositories (directly specified or inherited).
     * The repositories are ordered by declaration order, with inherited repositories appearing
     * after directly specified ones.
     *
     * @param project the project
     * @return ordered list of remote repositories
     */
    @Nonnull

 * stored bytes exceeds the limit, the cache will remove entries in the background until the limit
 * is satisfied. The limit is not strict: the cache may temporarily exceed it while waiting for
 * files to be deleted. The limit does not include filesystem overhead or the cache journal so
 * space-sensitive applications should set a conservative limit.
 *