.status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific data config setting by ID.
     *
     * @param id the ID of the data config to retrieve
     * @return JSON response containing the data config setting
     */
    // GET /api/admin/dataconfig/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

  protected final T data;
  protected final T expected;

  private final String suiteName;
  private final String caseDesc;

  SourceSinkTester(F factory, T data, String suiteName, String caseDesc, Method method) {
    super(method.getName());
    this.factory = checkNotNull(factory);
    this.data = checkNotNull(data);
    this.expected = checkNotNull(factory.getExpected(data));

        //custom options from user
        if (typeof options !== 'object' || options === null)
            options = {};

        //allow setting options with data attributes
        //data-api options will be overwritten with custom javascript options
        options = $.extend(this.element.data(), options);

        //html template for the picker UI
        if (typeof options.template !== 'string' && !(options.template instanceof $))

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined
     */

```
rm -rf /tmp/etcd-data.tmp && mkdir -p /tmp/etcd-data.tmp && \
  podman rmi gcr.io/etcd-development/etcd:v3.3.9 || true && \
  podman run \
  -p 2379:2379 \
  -p 2380:2380 \
  --mount type=bind,source=/tmp/etcd-data.tmp,destination=/etcd-data \
  --name etcd-gcr-v3.3.9 \
  gcr.io/etcd-development/etcd:v3.3.9 \
  /usr/local/bin/etcd \
  --name s1 \
  --data-dir /etcd-data \
  --listen-client-urls http://0.0.0.0:2379 \

`UploadFile` tem os seguintes métodos `async`. Todos eles chamam os métodos de arquivos por baixo dos panos (usando o objeto `SpooledTemporaryFile` interno).

* `write(data)`: escreve dados (`data`) em `str` ou `bytes` no arquivo.
* `read(size)`: Lê um número de bytes/caracteres de acordo com a quantidade `size` (`int`).
* `seek(offset)`: Navega para o byte na posição `offset` (`int`) do arquivo.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

     * a clean title suitable for indexing.
     *
     * @param responseData the response data from crawling (not currently used)
     * @param title the raw title text to process
     * @param dataMap additional data map (not currently used)
     * @return the normalized title, or empty string if title is null
     */

    for (int i = 0; i < lengthAligned; i += 8) {
      long loaded = load64(bytes, offset + i);
      long data = shiftMix(loaded * mul) * mul;
      hash ^= data;
      hash *= mul;
    }

    if (lengthRemainder != 0) {
      long data = load64Safely(bytes, offset + lengthAligned, lengthRemainder);
      hash ^= data;
      hash *= mul;
    }

    hash = shiftMix(hash) * mul;
    hash = shiftMix(hash);

        if (Character.isDigit(hostname.charAt(0))) {
            int i, len, dots;
            char[] data;

            i = dots = 0; /* quick IP address validation */
            len = hostname.length();
            data = hostname.toCharArray();
            while (i < len && Character.isDigit(data[i++])) {
                if (i == len && dots == 3) {
                    // probably an IP address