*/
public class HashFunctionBenchmark {

  // Use a statically configured random instance for all of the benchmarks
  private static final Random random = new Random(42);

  @Param({"10", "1000", "100000", "1000000"})
  private int size;

  @Param HashFunctionEnum hashFunctionEnum;

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {
    testBytes = new byte[size];

 *   <li>hashMethod: how to hash the data (using the Hashing API or the MessageDigest API).
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
public class MessageDigestAlgorithmBenchmark {
  @Param({"10", "1000", "100000", "1000000"})
  int size;

  @Param Algorithm algorithm;
  @Param HashMethod hashMethod;

  private enum HashMethod {
    MESSAGE_DIGEST_API() {
      @Override

 * @author Kurt Alfred Kluever
 */
public class HashCodeBenchmark {

  // Use a statically configured random instance for all of the benchmarks
  private static final Random random = new Random(42);

  @Param({"1000", "100000"})
  private int size;

  @Param WhereToDiffer whereToDiffer;

  @Param EqualsImplementation equalsImpl;

  private enum WhereToDiffer {
    ONE_PERCENT_IN,
    LAST_BYTE,
    NOT_AT_ALL;
  }

 * @author Kurt Alfred Kluever
 */
public class HashCodeBenchmark {

  // Use a statically configured random instance for all of the benchmarks
  private static final Random random = new Random(42);

  @Param({"1000", "100000"})
  private int size;

  @Param WhereToDiffer whereToDiffer;

  @Param EqualsImplementation equalsImpl;

  private enum WhereToDiffer {
    ONE_PERCENT_IN,
    LAST_BYTE,
    NOT_AT_ALL;
  }

/**
 * Tests for the default implementations of {@code ByteSink} methods.
 *
 * @author Colin Decker
 */
public class ByteSinkTest extends IoTestCase {

  private final byte[] bytes = newPreFilledByteArray(10000);

  private TestByteSink sink;

  @Override
  protected void setUp() throws Exception {
    sink = new TestByteSink();
  }

  public void testOpenBufferedStream() throws IOException {

  public void testOptimalSize() {
    for (int n = 1; n < 1000; n++) {
      for (double fpp = Double.MIN_VALUE; fpp < 1.0; fpp += 0.001) {
        assertTrue(BloomFilter.optimalNumOfBits(n, fpp) >= 0);
      }
    }

    // some random values
    Random random = new Random(0);
    for (int repeats = 0; repeats < 10000; repeats++) {

import java.util.BitSet;
import java.util.Random;

/** Benchmark for the {@link CharMatcher#whitespace} implementation. */
public class WhitespaceMatcherBenchmark {
  private static final int STRING_LENGTH = 10000;

  private static final String OLD_WHITESPACE_TABLE =
      "\u0001\u0000\u00a0\u0000\u0000\u0000\u0000\u0000"
          + "\u0000\u0009\n\u000b\u000c\r\u0000\u0000\u2028\u2029\u0000\u0000\u0000\u0000\u0000"

      }
    };

    abstract <T> Iterable<T> view(T root, TreeTraverser<T> viewer);
  }

  private Iterable<BinaryNode> view;

  @Param Topology topology;

  @Param({"1", "100", "10000", "1000000"})
  int size;

  @Param Traversal traversal;

  @Param({"1234"})
  SpecialRandom rng;

  @BeforeExperiment
  void setUp() {

          double z = aa.addAndGet(i, y);
          assertBitEquals(x + y, z);
          assertBitEquals(x + y, aa.get(i));
        }
      }
    }
  }

  static final long COUNTDOWN = 100000;

  class Counter extends CheckedRunnable {
    final AtomicDoubleArray aa;
    volatile long counts;

    Counter(AtomicDoubleArray a) {
      aa = a;
    }

    public void realRun() {

    @Override
    public SampleElements<Entry<String, Collection<Integer>>> samples() {
      return new SampleElements<>(
          mapEntry("one", collectionOf(10000)),
          mapEntry("two", collectionOf(-2000)),
          mapEntry("three", collectionOf(300)),
          mapEntry("four", collectionOf(-40)),
          mapEntry("five", collectionOf(5)));
    }