* not safe.
     */
    concat(
            stream(AbstractFuture.class.getDeclaredMethods()),
            stream(requireNonNull(AbstractFuture.class.getSuperclass()).getDeclaredMethods()))
        .filter(
            m ->
                m.getName().equals("getDoneValue")
                    || m.getName().equals("casValue")
                    || m.getName().equals("casListeners")

import org.codelibs.fess.opensearch.log.cbean.ca.SearchLogCA;
import org.codelibs.fess.opensearch.log.cbean.cq.SearchLogCQ;
import org.codelibs.fess.opensearch.log.cbean.cq.bs.BsSearchLogCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;

   * equivalently, if this inverse view contains a key that is equal to {@code value}).
   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override

import org.codelibs.fess.opensearch.config.cbean.cq.LabelTypeCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsLabelTypeCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

 *  **Okio dependency added.** OkHttp now depends on
    [Okio](https://github.com/square/okio), an I/O library that makes it easier
    to access, store and process data. Using this library internally makes OkHttp
    faster while consuming less memory. You can write a `RequestBody` as an Okio
    `BufferedSink` and a `ResponseBody` as an Okio `BufferedSource`. Standard
    `InputStream` and `OutputStream` access is also available.

    else super.runTest();
  }

  protected void runTestProfiled() throws Throwable {
    long t0 = System.nanoTime();
    try {
      super.runTest();
    } finally {
      long elapsedMillis = (System.nanoTime() - t0) / (1000L * 1000L);
      if (elapsedMillis >= profileThreshold)
        System.out.printf("%n%s: %d%n", toString(), elapsedMillis);
    }
  }

  //     /**

        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<WebConfigCQ> notLambda) {
        not(notLambda, null);
    }

    public void not(final OperatorCall<WebConfigCQ> notLambda, final ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);
    }

 *
 * <p>The IndexingHelper manages bulk operations, handles retries on failures,
 * and provides various query-based operations for document management.
 * It also integrates with the thumbnail generation system and handles
 * the cleanup of old documents during updates.</p>
 */
public class IndexingHelper {
    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(IndexingHelper.class);

     */
    protected String getResumeFromSelector(List<MavenProject> mavenProjects, MavenProject firstFailedProject) {
        boolean hasOverlappingArtifactId = mavenProjects.stream()
                        .filter(project -> firstFailedProject.getArtifactId().equals(project.getArtifactId()))
                        .count()
                > 1;

        if (hasOverlappingArtifactId) {

* `Field(index=True)` tells SQLModel that it should create a **SQL index** for this column, that would allow faster lookups in the database when reading data filtered by this column.

    SQLModel will know that something declared as `str` will be a SQL column of type `TEXT` (or `VARCHAR`, depending on the database).