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<title>event_serialization/65536 - Criterion.rs</title>
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</head>
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<body>
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<div class="body">
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<h2>event_serialization/65536</h2>
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<div class="absolute">
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<section class="plots">
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<table width="100%">
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<tbody>
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<tr>
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<td>
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<a href="pdf.svg">
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<img src="pdf_small.svg" alt="PDF of Slope" width="450" height="300" />
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</a>
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</td>
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<td>
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<a href="regression.svg">
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<img src="regression_small.svg" alt="Regression" width="450" height="300" />
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</a>
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</td>
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</tr>
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</tbody>
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</table>
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</section>
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<section class="stats">
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<div class="additional_stats">
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<h4>Additional Statistics:</h4>
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<table>
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<thead>
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<tr>
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<th></th>
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<th title="0.95 confidence level" class="ci-bound">Lower bound</th>
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<th>Estimate</th>
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<th title="0.95 confidence level" class="ci-bound">Upper bound</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Slope</td>
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<td class="ci-bound">3.3591 us</td>
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<td>3.4397 us</td>
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<td class="ci-bound">3.5100 us</td>
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</tr>
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<tr>
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<td>Throughput</td>
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<td class="ci-bound">17.389 GiB/s</td>
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<td>17.745 GiB/s</td>
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<td class="ci-bound">18.170 GiB/s</td>
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</tr>
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<tr>
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<td>R²</td>
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<td class="ci-bound">0.3510707</td>
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<td>0.3607662</td>
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<td class="ci-bound">0.3533282</td>
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</tr>
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<tr>
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<td>Mean</td>
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<td class="ci-bound">2.9361 us</td>
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<td>3.0449 us</td>
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<td class="ci-bound">3.1560 us</td>
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</tr>
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<tr>
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<td title="Standard Deviation">Std. Dev.</td>
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<td class="ci-bound">510.04 ns</td>
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<td>562.62 ns</td>
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<td class="ci-bound">606.43 ns</td>
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</tr>
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<tr>
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<td>Median</td>
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<td class="ci-bound">2.9138 us</td>
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<td>3.0108 us</td>
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<td class="ci-bound">3.0914 us</td>
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</tr>
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<tr>
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<td title="Median Absolute Deviation">MAD</td>
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<td class="ci-bound">700.20 ns</td>
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<td>876.92 ns</td>
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<td class="ci-bound">960.95 ns</td>
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</tr>
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</tbody>
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</table>
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</div>
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<div class="additional_plots">
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<h4>Additional Plots:</h4>
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<ul>
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<li>
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<a href="typical.svg">Typical</a>
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</li>
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<li>
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<a href="mean.svg">Mean</a>
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</li>
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<li>
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<a href="SD.svg">Std. Dev.</a>
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</li>
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<li>
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<a href="median.svg">Median</a>
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</li>
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<li>
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<a href="MAD.svg">MAD</a>
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</li>
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<li>
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<a href="slope.svg">Slope</a>
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</li>
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</ul>
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</div>
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</section>
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<section class="explanation">
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<h4>Understanding this report:</h4>
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<p>The plot on the left displays the average time per iteration for this benchmark. The shaded region
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shows the estimated probability of an iteration taking a certain amount of time, while the line
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shows the mean. Click on the plot for a larger view showing the outliers.</p>
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<p>The plot on the right shows the linear regression calculated from the measurements. Each point
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represents a sample, though here it shows the total time for the sample rather than time per
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iteration. The line is the line of best fit for these measurements.</p>
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<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#additional-statistics">the
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documentation</a> for more details on the additional statistics.</p>
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</section>
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</div>
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</div>
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<div id="footer">
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<p>This report was generated by
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<a href="https://github.com/bheisler/criterion.rs">Criterion.rs</a>, a statistics-driven benchmarking
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library in Rust.</p>
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</div>
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</body>
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</html>
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