* task cannot be implemented with {@link ListeningExecutorService}, the various {@link Futures}
 * utility methods, or {@link ListenableFutureTask}. Those APIs have less opportunity for developer
 * error. If your needs are more complex than {@code SettableFuture} supports, use {@link
 * AbstractFuture}, which offers an extensible version of the API.
 *
 * @author Sven Mawson

 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like
 * {@code java.util.LinkedHashSet}, it offers insertion-order iteration, with identical behavior.
 *

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.helper;

import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import org.codelibs.fess.unit.UnitFessTestCase;

public class AbstractConfigHelperTest extends UnitFessTestCase {

    private TestConfigHelper configHelper;

import com.google.common.annotations.J2ktIncompatible;
import java.io.Serializable;
import org.jspecify.annotations.NonNull;
import org.jspecify.annotations.Nullable;

/** An ordering that treats {@code null} as less than all other values. */
@GwtCompatible
final class NullsFirstOrdering<T extends @Nullable Object> extends Ordering<@Nullable T>
    implements Serializable {
  final Ordering<? super T> ordering;

import java.util.Random;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests that the different algorithms benchmarked in {@link QuantilesBenchmark} are actually all
 * returning more-or-less the same answers.
 */
@NullUnmarked
public class QuantilesAlgorithmTest extends TestCase {

  private static final Random rng = new Random(82674067L);
  private static final int DATASET_SIZE = 1000;

    }
    return tmp;
  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.

   * equivalent {@link Long#compare} method instead.
   *
   * @param a the first {@code long} to compare
   * @param b the second {@code long} to compare
   * @return a negative value if {@code a} is less than {@code b}; a positive value if {@code a} is
   *     greater than {@code b}; or zero if they are equal
   */
  @InlineMe(replacement = "Long.compare(a, b)")
  public static int compare(long a, long b) {

      stripes[i] = i;
    }
    List<Integer> asList = Ints.asList(stripes);
    Collections.shuffle(asList, new Random(0xdeadbeef));

    // do bulk gets with exactly 10 keys (possibly <10 stripes) (or less if numStripes is smaller)
    bulkGetSet = ImmutableList.copyOf(limit(cycle(asList), 10));
  }

  @Footprint
  Object sizeOfStriped() {
    return impl.get(numStripes);
  }

   */
  public abstract @Nullable C next(C value);

  /**
   * Returns the unique greatest value of type {@code C} that is less than {@code value}, or {@code
   * null} if none exists. Inverse operation to {@link #next}.
   *
   * @param value any value of type {@code C}
   * @return the greatest value less than {@code value}, or {@code null} if {@code value} is {@code
   *     minValue()}
   */

   */
  public abstract @Nullable C next(C value);

  /**
   * Returns the unique greatest value of type {@code C} that is less than {@code value}, or {@code
   * null} if none exists. Inverse operation to {@link #next}.
   *
   * @param value any value of type {@code C}
   * @return the greatest value less than {@code value}, or {@code null} if {@code value} is {@code
   *     minValue()}
   */