* 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.
   *

                _dst = _dst.deferred;
                final int _arrays = this.count;
                _dst.enc_ndr_long(_arrays);
                final int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

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

        verify(mockNdrBuffer).advance(1 * 6); // domain_guid.node

        verify(mockNdrBuffer).enc_ndr_referent(dnsDomainInfo.sid, 1);

        verify(mockDeferredNdrBuffer, times(9)).enc_ndr_long(anyInt()); // 3 enc_ndr_long for each of 3 unicode strings
        verify(mockDeferredNdrBuffer, times(3)).enc_ndr_long(0);
        verify(mockDeferredNdrBuffer, times(3)).advance(anyInt());

func TestErrAtEOF(t *testing.T) {
	s := NewScanner(strings.NewReader("1 2 33"))
	// This splitter will fail on last entry, after s.err==EOF.
	split := func(data []byte, atEOF bool) (advance int, token []byte, err error) {
		advance, token, err = ScanWords(data, atEOF)
		if len(token) > 1 {
			if s.ErrOrEOF() != io.EOF {
				t.Fatal("not testing EOF")
			}
			err = testError
		}
		return
	}
	s.Split(split)

        final int n = buf.dec_ndr_short(); /* secondary addr len */
        buf.advance(n); /* secondary addr */
        buf.align(4);
        buf.dec_ndr_small(); /* num results */
        buf.align(4);
        this.result = buf.dec_ndr_short();
        buf.dec_ndr_short();
        buf.advance(20); /* transfer syntax / version */
    }

        final int n = buf.dec_ndr_short(); /* secondary addr len */
        buf.advance(n); /* secondary addr */
        buf.align(4);
        buf.dec_ndr_small(); /* num results */
        buf.align(4);
        result = buf.dec_ndr_short();
        buf.dec_ndr_short();
        buf.advance(20); /* transfer syntax / version */
    }

    return Math.sqrt(populationVariance());
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
   * variance</a> of the values. If this dataset is a sample drawn from a population, this is an
   * unbiased estimator of the population variance of the population. The count must be greater than
   * one.
   *

                _dst.enc_ndr_long(_name_buffers);
                _dst.enc_ndr_long(0);
                _dst.enc_ndr_long(_name_bufferl);
                final int _name_bufferi = _dst.index;
                _dst.advance(2 * _name_bufferl);

                _dst = _dst.derive(_name_bufferi);
                for (int _i = 0; _i < _name_bufferl; _i++) {
                    _dst.enc_ndr_short(this.name.buffer[_i]);
                }

                _dst.enc_ndr_long(_name_buffers);
                _dst.enc_ndr_long(0);
                _dst.enc_ndr_long(_name_bufferl);
                final int _name_bufferi = _dst.index;
                _dst.advance(2 * _name_bufferl);

                _dst = _dst.derive(_name_bufferi);
                for (int _i = 0; _i < _name_bufferl; _i++) {
                    _dst.enc_ndr_short(name.buffer[_i]);
                }

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