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    <title>async/mpsc_integer/tokio::sync::mpsc/10 - Criterion.rs</title>
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    <div class="body">
        <h2>async/mpsc_integer/tokio::sync::mpsc/10</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">487.56 us</td>
                                <td>500.80 us</td>
                                <td class="ci-bound">513.41 us</td>
                            </tr>
                            <tr>
                                <td>R&#xb2;</td>
                                <td class="ci-bound">0.4849704</td>
                                <td>0.5012227</td>
                                <td class="ci-bound">0.4864409</td>
                            </tr>
                            <tr>
                                <td>Mean</td>
                                <td class="ci-bound">482.94 us</td>
                                <td>493.91 us</td>
                                <td class="ci-bound">504.83 us</td>
                            </tr>
                            <tr>
                                <td title="Standard Deviation">Std. Dev.</td>
                                <td class="ci-bound">50.367 us</td>
                                <td>56.157 us</td>
                                <td class="ci-bound">61.261 us</td>
                            </tr>
                            <tr>
                                <td>Median</td>
                                <td class="ci-bound">470.91 us</td>
                                <td>493.13 us</td>
                                <td class="ci-bound">523.05 us</td>
                            </tr>
                            <tr>
                                <td title="Median Absolute Deviation">MAD</td>
                                <td class="ci-bound">56.110 us</td>
                                <td>68.599 us</td>
                                <td class="ci-bound">80.254 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>
                        <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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