* either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *

            if (array != null) {
                _dst = _dst.deferred;
                int _arrays = count;
                _dst.enc_ndr_long(_arrays);
                int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for (int _i = 0; _i < _arrays; _i++) {
                    array[_i].encode(_dst);
                }
            }
        }

type SplitFunc func(data []byte, atEOF bool) (advance int, token []byte, err error)

// Errors returned by Scanner.
var (
	ErrTooLong         = errors.New("bufio.Scanner: token too long")
	ErrNegativeAdvance = errors.New("bufio.Scanner: SplitFunc returns negative advance count")
	ErrAdvanceTooFar   = errors.New("bufio.Scanner: SplitFunc returns advance count beyond input")

            if (s != null) {
                _dst = _dst.deferred;
                int _ss = count;
                _dst.enc_ndr_long(_ss);
                int _si = _dst.index;
                _dst.advance(4 * _ss);

                _dst = _dst.derive(_si);
                for (int _i = 0; _i < _ss; _i++) {
                    s[_i].encode(_dst);
                }
            }
        }

    this.it = checkNotNull(it);
    advance();
  }

  @Override
  public void close() throws IOException {
    if (in != null) {
      try {
        in.close();
      } finally {
        in = null;
      }
    }
  }

  /** Closes the current input stream and opens the next one, if any. */
  private void advance() throws IOException {
    close();
    if (it.hasNext()) {

  public void testAdvance() {
    FakeTicker ticker = new FakeTicker();
    assertEquals(0, ticker.read());
    assertSame(ticker, ticker.advance(10));
    assertEquals(10, ticker.read());
    ticker.advance(1, MILLISECONDS);
    assertEquals(1000010L, ticker.read());
    ticker.advance(Duration.ofMillis(1));
    assertEquals(2000010L, ticker.read());
  }

  public void testAutoIncrementStep_returnsSameInstance() {

   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *

  /**
   * Called after {@link #successorIterator} is exhausted. Advances {@link #node} to the next node
   * and updates {@link #successorIterator} to iterate through the successors of {@link #node}.
   */
  final boolean advance() {
    checkState(!successorIterator.hasNext());
    if (!nodeIterator.hasNext()) {
      return false;
    }
    node = nodeIterator.next();
    successorIterator = graph.successors(node).iterator();

  private final Stopwatch stopwatch = new Stopwatch(ticker);

  public void testElapsed_duration() {
    stopwatch.start();
    ticker.advance(999999);
    assertEquals(Duration.ofNanos(999999), stopwatch.elapsed());
    ticker.advance(1);
    assertEquals(Duration.ofMillis(1), stopwatch.elapsed());
  }

            throw e;
        }

    }


    private FileEntry open () throws CIFSException {
        this.treeHandle.send(this.request, this.response);
        checkStatus();
        FileEntry n = advance();
        if ( n == null ) {
            doClose();
        }
        return n;
    }


    /**
     * @throws SmbException
     */
    private void checkStatus () throws SmbException {