*/
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

    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;
    }

    this.allowsSelfLoops = builder.allowsSelfLoops;
    this.nodeOrder = builder.nodeOrder.cast();
    this.edgeOrder = builder.edgeOrder.cast();
    // Prefer the heavier "MapRetrievalCache" for nodes if lookup is expensive. This optimizes
    // methods that access the same node(s) repeatedly, such as Graphs.removeEdgesConnecting().
    this.nodeConnections =
        (nodeConnections instanceof TreeMap)

    Map<Element, Element> map = mapToTest;
    Element[] queries = this.queries;

    // Allows us to use & instead of %, acting on hearsay that division
    // operators (/%) are disproportionately expensive; should test this too!
    int mask = queries.length - 1;

    boolean dummy = false;
    for (int i = 0; i < reps; i++) {
      dummy ^= map.get(queries[i & mask]) != null;
    }
    return dummy;
  }

 */
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

import junit.framework.TestCase;

import java.io.IOException;

/**
 * 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

 * 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

      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;
      long now = System.nanoTime();
      if (nanos == 0 || now - nanos >= 0) {
        synchronized (this) {

 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be
 * granted immediately, but it is the <i>next</i> request that will experience extra throttling,
 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */

       * consistency with how weak references are cleared). That's a behavior change -- arguably the
       * removal of a feature.
       *
       * Fortunately, exceptions rarely contain references to expensive resources.
       */

      //
      seenExceptionsLocal = newConcurrentHashSet();
      /*
       * Other handleException() callers may see this as soon as we publish it. We need to populate