final SearchLogBhv searchLogBhv = ComponentUtil.getComponent(SearchLogBhv.class);
        final int batchSize = ComponentUtil.getFessConfig().getSearchlogProcessBatchSizeAsInteger();
        final int totalSize = searchLogList.size();
        for (int i = 0; i < totalSize; i += batchSize) {
            final int end = Math.min(totalSize, i + batchSize);
            if (logger.isDebugEnabled()) {

  public void testConcat_overflow_negative() {
    int dim1 = 1 << 16;
    int dim2 = 1 << 15;
    assertThat(dim1 * dim2).isLessThan(0);
    testConcatOverflow(dim1, dim2);
  }

  @GwtIncompatible // different overflow behavior; could probably be made to work by using ~~
  public void testConcat_overflow_nonNegative() {
    int dim1 = 1 << 16;
    int dim2 = 1 << 16;
    assertThat(dim1 * dim2).isAtLeast(0);

    default int availableProcessors() {
        final int num = getProcessorsAsInteger();
        if (num > 0) {
            return num;
        }
        return Runtime.getRuntime().availableProcessors();
    }

    Integer getCrawlerHttpThreadPoolSizeAsInteger();

    default int getCrawlerHttpProcessors() {
        final int num = getCrawlerHttpThreadPoolSizeAsInteger();

        context.goals = context.lookup.lookupMap(Goal.class);
    }

    public static final int OK = 0; // OK
    public static final int ERROR = 1; // "generic" error
    public static final int BAD_OPERATION = 2; // bad user input or alike
    public static final int CANCELED = 3; // user canceled

    protected int doExecute(LocalContext context) throws Exception {
        try {
            if (!context.interactive) {

  for (int32_t i = start; i < end; i += step) {
    (*data)[i] = i;
  }
}

// Fills out_dims with the dimensions of the given tensor.
void GetDims(const TF_Tensor* t, int64_t* out_dims) {
  int num_dims = TF_NumDims(t);
  for (int i = 0; i < num_dims; i++) {
    out_dims[i] = TF_Dim(t, i);
  }
}

// Runs model as is if output is a scalar,
// else sums the output tensor before returning.

  }

  private void testThreshold(
      int fileThreshold, int dataSize, boolean singleByte, boolean resetOnFinalize)
      throws IOException {
    byte[] data = newPreFilledByteArray(dataSize);
    FileBackedOutputStream out = new FileBackedOutputStream(fileThreshold, resetOnFinalize);
    ByteSource source = out.asByteSource();
    int chunk1 = min(dataSize, fileThreshold);
    int chunk2 = dataSize - chunk1;

 *
 * @author Regina O'Dell
 */
@GwtCompatible
public class UnhashableObject implements Comparable<UnhashableObject> {
  private final int value;

  public UnhashableObject(int value) {
    this.value = value;
  }

  @Override
  public boolean equals(@Nullable Object object) {
    if (object instanceof UnhashableObject) {

  void setCountCheckReturnValue(E element, int count) {
    assertEquals(
        "multiset.setCount() should return the old count",
        getMultiset().count(element),
        setCount(element, count));
  }

  @Override
  void setCountNoCheckReturnValue(E element, int count) {
    setCount(element, count);
  }

  @CanIgnoreReturnValue
  private int setCount(E element, int count) {

public class StopwatchBenchmark {
  @Benchmark
  long stopwatch(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      Stopwatch s = Stopwatch.createStarted();
      // here is where you would do something
      total += s.elapsed(NANOSECONDS);
    }
    return total;
  }

  @Benchmark
  long manual(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      long start = System.nanoTime();

      new Murmur3_128HashFunction(Hashing.GOOD_FAST_HASH_SEED);

  // TODO(user): when the shortcuts are implemented, update BloomFilterStrategies
  private final int seed;

  Murmur3_128HashFunction(int seed) {
    this.seed = seed;
  }

  @Override
  public int bits() {
    return 128;
  }

  @Override
  public Hasher newHasher() {
    return new Murmur3_128Hasher(seed);
  }

  @Override