import java.io.IOException;
import java.io.InputStream;
import java.util.Random;

/** Returns a random portion of the requested bytes on each call. */
class RandomAmountInputStream extends FilterInputStream {
  private final Random random;

  public RandomAmountInputStream(InputStream in, Random random) {
    super(checkNotNull(in));
    this.random = checkNotNull(random);
  }

  @Override

            new StreamingVersion().newHasher(52),
            new NonStreamingVersion().newHasher(),
            new NonStreamingVersion().newHasher(123));
    Random random = new Random(0);
    for (int i = 0; i < 200; i++) {
      RandomHasherAction.pickAtRandom(random).performAction(random, hashers);
    }
    HashCode[] codes = new HashCode[hashers.size()];
    for (int i = 0; i < hashers.size(); i++) {
      codes[i] = hashers.get(i).hash();

public class AccessTokenHelper {

    protected static final String BEARER = "Bearer";

    protected Random random = new SecureRandom();

    public String generateAccessToken() {
        return RandomStringUtils.random(ComponentUtil.getFessConfig().getApiAccessTokenLengthAsInteger(), 0, 0, true, true, null, random);
    }

    public String getAccessTokenFromRequest(final HttpServletRequest request) {

    }
  }

  private static class MutateTask implements Callable<int[]> {
    private final ConcurrentHashMultiset<String> multiset;
    private final ImmutableList<String> keys;
    private final Random random = new Random();

    private MutateTask(ConcurrentHashMultiset<String> multiset, ImmutableList<String> keys) {
      this.multiset = multiset;
      this.keys = keys;
    }

    @Override

  }

  @Test
  public void undirectedGraph() {
    testGraphMutation(GraphBuilder.undirected());
  }

  private static void testGraphMutation(GraphBuilder<? super Integer> graphBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableGraph<Integer> graph = graphBuilder.allowsSelfLoops(true).build();

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

import java.io.IOException;
import java.io.InputStream;
import java.util.Random;

/** Returns a random portion of the requested bytes on each call. */
class RandomAmountInputStream extends FilterInputStream {
  private final Random random;

  public RandomAmountInputStream(InputStream in, Random random) {
    super(checkNotNull(in));
    this.random = checkNotNull(random);
  }

  @Override

    long seed = new Random().nextLong();
    Random random = new Random(seed);
    insertRandomly(elements, q, random);
    return seed;
  }

  private static void insertRandomly(
      ArrayList<Integer> elements, MinMaxPriorityQueue<Integer> q, Random random) {
    while (!elements.isEmpty()) {
      int selectedIndex = random.nextInt(elements.size());

  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);
  static AtomicLong misses = new AtomicLong(0);

  @BeforeExperiment
  void setUp() {
    // random integers will be generated in this range, then raised to the

  @Param({"20", "2000"})
  int size;

  @Param({"2", "20"})
  int nonAlphaRatio; // one non-alpha char per this many chars

  @Param boolean noWorkToDo;

  Random random;
  String testString;

  @BeforeExperiment
  void setUp() {
    random = new Random(0xdeadbeef); // fix the seed so results are comparable across runs

    int nonAlpha = size / nonAlphaRatio;
    int alpha = size - nonAlpha;