compress_snappy::reallocs/fixed

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 1855.4988 reallocations 1980.5909 reallocations 2143.2356 reallocations
Throughput 0.0268 reallocations/byte 0.0248 reallocations/byte 0.0232 reallocations/byte
0.0000000 0.0000000 0.0000000
Mean 4363.4046 reallocations 6882.0558 reallocations 10345.0604 reallocations
Std. Dev. 5273.4020 reallocations 15582.0572 reallocations 24419.0947 reallocations
Median 2211.5700 reallocations 2627.7400 reallocations 3238.0608 reallocations
MAD 1050.4864 reallocations 1594.5297 reallocations 2382.8787 reallocations

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 +109510% +205701% +389375% (p = 0.00 < 0.05)
Change in throughput -99.909% -99.951% -99.974%
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.