"image/vnd.fujixerox.edmics-rlc",
				"image/vnd.globalgraphics.pgb",
				"image/vnd.microsoft.icon",
				"image/vnd.mix",
				"image/vnd.ms-modi",
				"image/vnd.net-fpx",
				"image/vnd.radiance",
				"image/vnd.sealed.png",
				"image/vnd.sealedmedia.softseal.gif",
				"image/vnd.sealedmedia.softseal.jpg",
				"image/vnd.svf",
				"image/vnd.wap.wbmp",
				"image/vnd.xiff",

	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/suggestor.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/advance.js')}"></script>
</body>

	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/suggestor.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/advance.js')}"></script>
</body>

Shinsuke Sugaya <******@****.***> 1680155124 +0900

  }

  static class MeanAndVariance {
    private final double mean;
    private final double variance;

    MeanAndVariance(double mean, double variance) {
      this.mean = mean;
      this.variance = variance;
    }

    @Override
    public int hashCode() {
      return Double.hashCode(mean) * 31 + Double.hashCode(variance);
    }
  }

  enum VarianceAlgorithm {
    DO_NOT_COMPUTE {
      @Override

  public void testElapsed_notRunning() {
    ticker.advance(1);
    stopwatch.start();
    ticker.advance(4);
    stopwatch.stop();
    ticker.advance(9);
    assertEquals(4, stopwatch.elapsed(NANOSECONDS));
  }

  public void testElapsed_multipleSegments() {
    stopwatch.start();
    ticker.advance(9);
    stopwatch.stop();

    ticker.advance(16);

    stopwatch.start();

        deferred.length = length;
    }

    /**
     * Advances the buffer index by the specified number of bytes.
     *
     * @param n the number of bytes to advance
     */
    public void advance(final int n) {
        index += n;
        if (index - start > deferred.length) {
            deferred.length = index - start;
        }
    }

    /**

    cache.asMap().put(1, -1);
    ticker.advance(1, MILLISECONDS);
    assertEquals(Integer.valueOf(1), cache.getUnchecked(0));
    assertEquals(Integer.valueOf(-1), cache.getUnchecked(1));
    assertEquals(Integer.valueOf(2), cache.getUnchecked(2));
    assertEquals(expectedLoads, loader.getLoadCount());
    assertEquals(expectedReloads, loader.getReloadCount());

    // refresh 2
    ticker.advance(1, MILLISECONDS);

   * 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.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]);
                }