*/
@FunctionalInterface
@GwtCompatible
public interface AsyncCallable<V extends @Nullable Object> {
  /**
   * Computes a result {@code Future}. The output {@code Future} need not be {@linkplain
   * Future#isDone done}, making {@code AsyncCallable} suitable for asynchronous derivations.
   *
   * <p>Throwing an exception from this method is equivalent to returning a failing {@link
   * ListenableFuture}.
   */

     */
    @Resource
    protected DataConfigBhv dataConfigBhv;

    /**
     * Fess configuration containing application settings.
     * Used to retrieve paging and other configuration parameters.
     */
    @Resource
    protected FessConfig fessConfig;

    /**
     * Creates a new instance of DataConfigService.

  }

  @JvmStatic
  val windows: Boolean
    get() = System.getProperty("os.name", "?").startsWith("Windows")

  /**
   * Make assertions about the suppressed exceptions on this. Prefer this over making direct calls
   * so tests pass on GraalVM, where suppressed exceptions are silently discarded.
   *
   * https://github.com/oracle/graal/issues/3008
   */
  @JvmStatic

# Contributor Covenant Code of Conduct

## Our Pledge

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, gender identity and expression, level of experience,
nationality, personal appearance, race, religion, or sexual identity and
orientation.

## 1. Prerequisites

* Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).

    ...
```

But by using the `secrets.compare_digest()` it will be secure against a type of attacks called "timing attacks".

### Timing Attacks { #timing-attacks }

But what's a "timing attack"?

Let's imagine some attackers are trying to guess the username and password.

And they send a request with a username `johndoe` and a password `love123`.

Then the Python code in your application would be equivalent to something like:

Example: Limit a MinIO cluster to accept at max 1600 simultaneous S3 API requests across all nodes of the cluster.

```sh
export MINIO_API_REQUESTS_MAX=1600

        final PagingResultBean<FileAuthentication> fileAuthenticationList = fileAuthenticationBhv.selectPage(cb -> {
            cb.paging(fileAuthenticationPager.getPageSize(), fileAuthenticationPager.getCurrentPageNumber());
            setupListCondition(cb, fileAuthenticationPager);
        });

        // update pager

    public List<RelatedContent> getRelatedContentList(final RelatedContentPager relatedContentPager) {

        final PagingResultBean<RelatedContent> relatedContentList = relatedContentBhv.selectPage(cb -> {
            cb.paging(relatedContentPager.getPageSize(), relatedContentPager.getCurrentPageNumber());
            setupListCondition(cb, relatedContentPager);
        });

        // update pager

selama
selamanya
lebih
terlebih
bermacam
macam
semacam
maka
makanya
makin
malah
malahan
mampu
mampukah
mana
manakala
manalagi
masih
masihkah
semasih
masing
mau
maupun
semaunya
memang
mereka
merekalah
meski
meskipun
semula
mungkin
mungkinkah
nah
namun
nanti
nantinya
nyaris
oleh
olehnya
seorang