dict_encoder_float::allocs/128

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 264128.7907 allocations 281922.3626 allocations 305097.9982 allocations
Throughput 595.8945 allocations/byte 550.6296 allocations/byte 515.8765 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 621159.9244 allocations 979619.3381 allocations 1473559.7140 allocations
Std. Dev. 752438.4103 allocations 2218068.7472 allocations 3486312.2192 allocations
Median 314789.0216 allocations 374022.4433 allocations 460893.7459 allocations
MAD 149554.6254 allocations 226936.5673 allocations 340466.9467 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 +54.527% +184.32% +425.14% (p = 0.00 < 0.05)
Change in throughput -35.286% -64.829% -80.957%
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.