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<title>event_deserialization/4194304 - 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_deserialization/4194304</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="iteration_times.svg">
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<img src="iteration_times_small.svg" alt="Iteration Times" 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>Throughput</td>
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<td class="ci-bound">2.0252 GiB/s</td>
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<td>2.0569 GiB/s</td>
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<td class="ci-bound">2.0883 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">0.0071902</td>
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<td>0.0074511</td>
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<td class="ci-bound">0.0071668</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">1.8706 ms</td>
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<td>1.8991 ms</td>
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<td class="ci-bound">1.9288 ms</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">122.56 us</td>
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<td>149.74 us</td>
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<td class="ci-bound">174.13 us</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">1.8437 ms</td>
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<td>1.8715 ms</td>
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<td class="ci-bound">1.9066 ms</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">97.852 us</td>
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<td>130.21 us</td>
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<td class="ci-bound">155.67 us</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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</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 average time per iteration for the samples. Each point
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represents one sample.</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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<section class="plots">
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<h3>Change Since Previous Benchmark</h3>
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<div class="relative">
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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="both/pdf.svg">
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<img src="relative_pdf_small.svg" alt="PDF Comparison" width="450"
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height="300" />
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</a>
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</td>
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<td>
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<a href="both/iteration_times.svg">
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<img src="relative_iteration_times_small.svg" alt="Iteration Time Comparison" width="450"
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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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</div>
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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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<th></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>Change in time</td>
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<td class="ci-bound">+16.720%</td>
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<td>+18.589%</td>
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<td class="ci-bound">+20.784%</td>
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<td>(p = 0.00 <
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0.05)</td>
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</tr>
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<tr>
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<td>Change in throughput</td>
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<td class="ci-bound">-14.325%</td>
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<td>-15.675%</td>
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<td class="ci-bound">-17.208%</td>
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<td></td>
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</tr>
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</tbody>
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</table>
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Performance has regressed.
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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="change/mean.svg">Change in mean</a>
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</li>
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<li>
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<a href="change/median.svg">Change in median</a>
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</li>
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<li>
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<a href="change/t-test.svg">T-Test</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 shows the probability of the function taking a certain amount of time. The red
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curve represents the saved measurements from the last time this benchmark was run, while the blue curve
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shows the measurements from this run. The lines represent the mean time per iteration. Click on the
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plot for a larger view.</p>
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<p>The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
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the previous measurement while the blue dots show the current measurement.</p>
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<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#change">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 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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