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<title>event_serialization/1024 - Criterion.rs</title>
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<div class="body">
<h2>event_serialization/1024</h2>
<div class="absolute">
<section class="plots">
<table width="100%">
<tbody>
<tr>
<td>
<a href="pdf.svg">
<img src="pdf_small.svg" alt="PDF of Slope" width="450" height="300" />
</a>
</td>
<td>
<a href="regression.svg">
<img src="regression_small.svg" alt="Regression" width="450" height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</section>
<section class="stats">
<div class="additional_stats">
<h4>Additional Statistics:</h4>
<table>
<thead>
<tr>
<th></th>
<th title="0.95 confidence level" class="ci-bound">Lower bound</th>
<th>Estimate</th>
<th title="0.95 confidence level" class="ci-bound">Upper bound</th>
</tr>
</thead>
<tbody>
<tr>
<td>Slope</td>
<td class="ci-bound">417.58 ns</td>
<td>420.38 ns</td>
<td class="ci-bound">423.02 ns</td>
</tr>
<tr>
<td>Throughput</td>
<td class="ci-bound">2.2544 GiB/s</td>
<td>2.2686 GiB/s</td>
<td class="ci-bound">2.2838 GiB/s</td>
</tr>
<tr>
<td>R&#xb2;</td>
<td class="ci-bound">0.9171430</td>
<td>0.9225971</td>
<td class="ci-bound">0.9177504</td>
</tr>
<tr>
<td>Mean</td>
<td class="ci-bound">413.93 ns</td>
<td>417.83 ns</td>
<td class="ci-bound">421.28 ns</td>
</tr>
<tr>
<td title="Standard Deviation">Std. Dev.</td>
<td class="ci-bound">12.228 ns</td>
<td>18.887 ns</td>
<td class="ci-bound">24.660 ns</td>
</tr>
<tr>
<td>Median</td>
<td class="ci-bound">419.32 ns</td>
<td>420.78 ns</td>
<td class="ci-bound">424.28 ns</td>
</tr>
<tr>
<td title="Median Absolute Deviation">MAD</td>
<td class="ci-bound">8.4110 ns</td>
<td>12.877 ns</td>
<td class="ci-bound">14.958 ns</td>
</tr>
</tbody>
</table>
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="typical.svg">Typical</a>
</li>
<li>
<a href="mean.svg">Mean</a>
</li>
<li>
<a href="SD.svg">Std. Dev.</a>
</li>
<li>
<a href="median.svg">Median</a>
</li>
<li>
<a href="MAD.svg">MAD</a>
</li>
<li>
<a href="slope.svg">Slope</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left displays the average time per iteration for this benchmark. The shaded region
shows the estimated probability of an iteration taking a certain amount of time, while the line
shows the mean. Click on the plot for a larger view showing the outliers.</p>
<p>The plot on the right shows the linear regression calculated from the measurements. Each point
represents a sample, though here it shows the total time for the sample rather than time per
iteration. The line is the line of best fit for these measurements.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#additional-statistics">the
documentation</a> for more details on the additional statistics.</p>
</section>
</div>
</div>
<div id="footer">
<p>This report was generated by
<a href="https://github.com/bheisler/criterion.rs">Criterion.rs</a>, a statistics-driven benchmarking
library in Rust.</p>
</div>
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