* sum that is used for purposes such as collecting statistics, not for fine-grained synchronization
 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of
 * higher space consumption.
 *
 * <p>This class extends {@link Number}, but does not define methods such as {@code

 * threads. By default, this ordering is not guaranteed. However, a queue constructed with fairness
 * set to {@code true} grants threads access in FIFO order. Fairness generally decreases throughput
 * but reduces variability and avoids starvation.
 *
 * <p>This class and its iterator implement all of the optional methods of the {@link
 * Collection} and {@link Iterator} interfaces.
 *
 * @author Doug Lea

 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues

- DRA: scheduling pods is up to 16x faster, depending on the scenario. Scheduling throughput depends a lot on cluster utilization. It is higher for lightly loaded clusters with free resources and gets lower when the cluster utilization increases. ([#127277](https://github.com/kubernetes/kubernetes/pull/127277), [@pohly](https://github.com/pohly))...

- The scheduler implemented QueueingHint in the TaintToleration plugin, enhancing the throughput of scheduling. ([#124287](https://github.com/kubernetes/kubernetes/pull/124287), [@sanposhiho](https://github.com/sanposhiho)) [SIG Scheduling and Testing]

  pods` preferred inter-pod affinities if the incoming pod has no preferred inter-pod
  affinities. This option can be used as an optimization for higher scheduling throughput
  (at the cost of an occasional pod being scheduled non-optimally/violating existing
  pods preferred inter-pod affinities). To enable this scheduler option, set the

import java.util.Map;

/**
 * A specialized ArrayList for storing document data with additional metadata.
 * This class extends ArrayList to hold document maps while tracking content size
 * and processing time metrics. It's used throughout the Fess search system to
 * manage collections of search results and crawled documents.
 *
 */
public class DocList extends ArrayList<Map<String, Object>> {

    /** Serial version UID for serialization */

     */
    @Resource
    protected RelatedContentBhv relatedContentBhv;

    /**
     * Configuration settings for Fess application.
     * Contains various configuration parameters used throughout the application.
     */
    @Resource
    protected FessConfig fessConfig;

    /**
     * Retrieves a paginated list of related content entities.
     *

 */
package org.codelibs.fess.app.service;

/**
 * Abstract base class for Fess application services.
 * This class provides common functionality and utilities for service implementations
 * throughout the Fess search application.
 */
public abstract class FessAppService {

    /**
     * Default constructor.
     */
    public FessAppService() {
        // Default constructor
    }

    /**

    assertThat(cache.asMap().keySet()).containsExactly(2, 4);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(2);

    // Should we pepper more of these calls throughout the above? Where?
    CacheTesting.checkValidState(cache);
  }

  /**
   * Tests that when a single entry exceeds the segment's max weight, the new entry is immediately
   * evicted and nothing else.
   */