import junit.framework.Test;
import junit.framework.TestCase;

/**
 * Runs all _gwt tests. Grouping them into a suite is much faster than running each as a one-test
 * "suite," as the per-suite setup is expensive.
 */
public class GwtTestSuite extends TestCase {
  public static Test suite() throws IOException {
    GWTTestSuite suite = new GWTTestSuite();
    for (ClassInfo info :

 */
@NullUnmarked
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment

 *   <li>DISABLED - No caching performed</li>
 * </ul>
 * <p>
 * Example usage:
 * <pre>
 * RequestCache cache = cacheFactory.createCache();
 * Result result = cache.request(myRequest, req -> {
 *     // Expensive operation to compute result
 *     return computedResult;
 * });
 * </pre>
 * <p>
 * The package also provides support for batch operations through {@link org.apache.maven.api.cache.BatchRequestException}

 * inputs' {@link Comparable#compareTo compareTo} and {@link Comparator#compare compare} methods as
 * soon as one of them returns a nonzero result. This optimization is typically important only in
 * the presence of expensive {@code compareTo} and {@code compare} implementations.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/CommonObjectUtilitiesExplained#comparecompareto">{@code

   * [logCloseableLeak].
   */
  open fun getStackTraceForCloseable(closer: String): Any? =
    when {
      logger.isLoggable(Level.FINE) -> Throwable(closer) // These are expensive to allocate.
      else -> null
    }

  open fun logCloseableLeak(
    message: String,
    stackTrace: Any?,
  ) {
    var logMessage = message
    if (stackTrace == null) {

    int charsLeft = slen - lastEscape;
    if (charsLeft > 0) {
      int sizeNeeded = destIndex + charsLeft;
      if (destSize < sizeNeeded) {

        // Regrow and copy, expensive! No padding as this is the final copy.
        dest = growBuffer(dest, destIndex, sizeNeeded);
      }
      s.getChars(lastEscape, slen, dest, destIndex);
      destIndex = sizeNeeded;
    }

    int charsLeft = slen - lastEscape;
    if (charsLeft > 0) {
      int sizeNeeded = destIndex + charsLeft;
      if (destSize < sizeNeeded) {

        // Regrow and copy, expensive! No padding as this is the final copy.
        dest = growBuffer(dest, destIndex, sizeNeeded);
      }
      s.getChars(lastEscape, slen, dest, destIndex);
      destIndex = sizeNeeded;
    }

        }
    }

    private String maskSensitiveData(String data) {
        if (data == null || !maskSensitiveData) {
            return data;
        }

        // Performance optimization: skip expensive regex for high-frequency logging
        if (enableHighPerformanceMode) {
            // Fast path: only check for obvious patterns without regex
            String lowerData = data.toLowerCase();

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

   * same value those two ranges will be coalesced.
   *
   * <p><b>Note:</b> coalescing requires calling {@code .equals()} on any connected values, which
   * may be expensive depending on the value type. Using this method on range maps with large values
   * such as {@link Collection} types is discouraged.
   *
   * @since 22.0
   */
  void putCoalescing(Range<K> range, V value);