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<title>event_deserialization/1024 - Criterion.rs</title>
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<div class="body">
<h2>event_deserialization/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">575.38 ns</td>
<td>585.42 ns</td>
<td class="ci-bound">598.72 ns</td>
</tr>
<tr>
<td>Throughput</td>
<td class="ci-bound">1.5928 GiB/s</td>
<td>1.6290 GiB/s</td>
<td class="ci-bound">1.6575 GiB/s</td>
</tr>
<tr>
<td>R&#xb2;</td>
<td class="ci-bound">0.4564653</td>
<td>0.4664177</td>
<td class="ci-bound">0.4492248</td>
</tr>
<tr>
<td>Mean</td>
<td class="ci-bound">585.73 ns</td>
<td>595.36 ns</td>
<td class="ci-bound">606.62 ns</td>
</tr>
<tr>
<td title="Standard Deviation">Std. Dev.</td>
<td class="ci-bound">33.344 ns</td>
<td>53.414 ns</td>
<td class="ci-bound">73.516 ns</td>
</tr>
<tr>
<td>Median</td>
<td class="ci-bound">573.86 ns</td>
<td>581.29 ns</td>
<td class="ci-bound">588.66 ns</td>
</tr>
<tr>
<td title="Median Absolute Deviation">MAD</td>
<td class="ci-bound">22.320 ns</td>
<td>32.444 ns</td>
<td class="ci-bound">41.957 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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