}).createPageNumberList());

        return userList;
    }

    /**
     * Retrieves a user by their unique identifier.
     * Loads the user through the authentication manager for complete user data.
     *
     * @param id the unique identifier of the user
     * @return an OptionalEntity containing the user if found
     */
    public OptionalEntity<User> getUser(final String id) {

You can define background tasks to be run *after* returning a response.

This is useful for operations that need to happen after a request, but that the client doesn't really have to be waiting for the operation to complete before receiving the response.

This includes, for example:

* Email notifications sent after performing an action:

* **Daha az xəta**: İnsan (developer) tərəfindən törədilən səhvlərin təxminən 40% -ni azaldın. *
* **İntuitiv**: Əla redaktor dəstəyi. Hər yerdə <abbr title="auto-complete, autocompletion, IntelliSense olaraq da bilinir">otomatik tamamlama</abbr>. Xətaları müəyyənləşdirməyə daha az vaxt sərf edəcəksiniz.

              }
            }
          });
      executor.execute(
          new Runnable() {
            @Override
            public void run() {
              future.cancel(true);
              if (!future.isDone()) {
                errorMessage.set("Cancel call exited before future was complete.");
              }
            }
          });

   * during {@code Executor.execute} (e.g., a {@code RejectedExecutionException}) will be caught and
   * logged.
   *
   * @param listener the listener to run when the service changes state is complete
   * @param executor the executor in which the listeners callback methods will be run. For fast,
   *     lightweight listeners that would be safe to execute in any thread, consider {@link
   *     MoreExecutors#directExecutor}.

        assertEquals(0, info.getCapacity());
        assertEquals(0, info.getFree());
    }

    @Test
    void testReadDataWireFormat_BufferTooSmall() throws Exception {
        // Test with buffer too small for complete data
        response = new Trans2QueryFSInformationResponse(config, FileSystemInformation.SMB_INFO_ALLOCATION);

        byte[] buffer = new byte[10]; // Too small for SmbInfoAllocation

        // Set dataCount

 *   <li>Thread Creation: Creates a group of crawler threads to perform the actual crawling.</li>
 *   <li>Execution: Starts the crawler threads and waits for them to complete.</li>
 *   <li>Cleanup: Deletes the crawled data and clears the URL filter.</li>
 * </ol>
 *
 * <p>The crawler can be configured with various parameters, such as the number of threads,

    assertThat(taskFaker.isIdle()).isFalse()

    // On cache misses, no retry job is queued.
    assertThat(cache["c"]).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // Let the rebuild complete successfully.
    filesystem.setFaultyRename(cacheDir / DiskLruCache.JOURNAL_FILE_BACKUP, false)
    taskFaker.runNextTask()
    assertJournalEquals("CLEAN a 1 1", "CLEAN b 1 1")
  }

  @ParameterizedTest

    restart:
    while (true) {
      Waiter pred = null;
      Waiter curr = waitersField;
      if (curr == Waiter.TOMBSTONE) {
        return; // give up if someone is calling complete
      }
      Waiter succ;
      while (curr != null) {
        succ = curr.next;
        if (curr.thread != null) { // we aren't unlinking this node, update pred.
          pred = curr;

development and production, deploy MinIO with Erasure Coding enabled - specifically, with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html#) for more complete documentation. ## Install from Source Use the following commands to compile and run a standalone MinIO server from source. Source installation is only intended for developers and advanced users. If you do not have a working Golang environment, please...