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<title>event_deserialization/1048576 - Criterion.rs</title>
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<div class="body">
<h2>event_deserialization/1048576</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="iteration_times.svg">
<img src="iteration_times_small.svg" alt="Iteration Times" 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>Throughput</td>
<td class="ci-bound">1.7345 GiB/s</td>
<td>1.7351 GiB/s</td>
<td class="ci-bound">1.7357 GiB/s</td>
</tr>
<tr>
<td>R&#xb2;</td>
<td class="ci-bound">0.0175380</td>
<td>0.0181902</td>
<td class="ci-bound">0.0175162</td>
</tr>
<tr>
<td>Mean</td>
<td class="ci-bound">562.62 us</td>
<td>562.81 us</td>
<td class="ci-bound">563.01 us</td>
</tr>
<tr>
<td title="Standard Deviation">Std. Dev.</td>
<td class="ci-bound">850.68 ns</td>
<td>1.0010 us</td>
<td class="ci-bound">1.1318 us</td>
</tr>
<tr>
<td>Median</td>
<td class="ci-bound">562.47 us</td>
<td>562.69 us</td>
<td class="ci-bound">562.93 us</td>
</tr>
<tr>
<td title="Median Absolute Deviation">MAD</td>
<td class="ci-bound">681.88 ns</td>
<td>931.04 ns</td>
<td class="ci-bound">1.2132 us</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>
</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 average time per iteration for the samples. Each point
represents one sample.</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>
<section class="plots">
<h3>Change Since Previous Benchmark</h3>
<div class="relative">
<table width="100%">
<tbody>
<tr>
<td>
<a href="both/pdf.svg">
<img src="relative_pdf_small.svg" alt="PDF Comparison" width="450"
height="300" />
</a>
</td>
<td>
<a href="both/iteration_times.svg">
<img src="relative_iteration_times_small.svg" alt="Iteration Time Comparison" width="450"
height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</div>
</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>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Change in time</td>
<td class="ci-bound">-0.0016%</td>
<td>+0.0608%</td>
<td class="ci-bound">+0.1210%</td>
<td>(p = 0.06 &gt;
0.05)</td>
</tr>
<tr>
<td>Change in throughput</td>
<td class="ci-bound">+0.0016%</td>
<td>-0.0607%</td>
<td class="ci-bound">-0.1208%</td>
<td></td>
</tr>
</tbody>
</table>
No change in performance detected.
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="change/mean.svg">Change in mean</a>
</li>
<li>
<a href="change/median.svg">Change in median</a>
</li>
<li>
<a href="change/t-test.svg">T-Test</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left shows the probability of the function taking a certain amount of time. The red
curve represents the saved measurements from the last time this benchmark was run, while the blue curve
shows the measurements from this run. The lines represent the mean time per iteration. Click on the
plot for a larger view.</p>
<p>The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
the previous measurement while the blue dots show the current measurement.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#change">the
documentation</a> for more details on the additional statistics.</p>
</section>
</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>
</body>
</html>