dict_encoder_int64::allocs/16

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 54161.3275 allocations 57823.5320 allocations 62630.8062 allocations
Throughput 489.3032 allocations/byte 451.7463 allocations/byte 423.1354 allocations/byte
0.0000001 0.0000001 0.0000001
Mean 127085.3783 allocations 200754.2301 allocations 301589.5555 allocations
Std. Dev. 153152.2699 allocations 454446.9393 allocations 714169.6284 allocations
Median 64545.3274 allocations 76674.0537 allocations 94465.4794 allocations
MAD 30484.0590 allocations 46455.5601 allocations 69612.2824 allocations

Additional Plots:

Understanding this report:

The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty 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.

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.

See the documentation for more details on the additional statistics.

Change Since Previous Benchmark

Additional Statistics:

Lower bound Estimate Upper bound
Change in time +66.298% +209.26% +467.98% (p = 0.00 < 0.05)
Change in throughput -39.867% -67.665% -82.394%
Performance has regressed.

Understanding this report:

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.

The plot on the right shows the two regressions. Again, the red line represents the previous measurement while the blue line shows the current measurement.

See the documentation for more details on the additional statistics.