dict_encoder_int64::allocs/128

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 252805.0190 allocations 269823.6905 allocations 292062.9096 allocations
Throughput 285.2177 allocations/byte 263.4997 allocations/byte 246.8799 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 592930.1291 allocations 937569.8835 allocations 1404826.2441 allocations
Std. Dev. 714299.7699 allocations 2122854.1402 allocations 3319452.9629 allocations
Median 301278.8377 allocations 357969.1660 allocations 441110.9766 allocations
MAD 142673.9593 allocations 217192.7390 allocations 324872.6551 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 +59.318% +189.79% +429.59% (p = 0.00 < 0.05)
Change in throughput -37.233% -65.492% -81.118%
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.