PyTemporal

small_dataset

High-Performance Bitemporal Processing Benchmarks

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 84.870 µs 84.932 µs 85.008 µs
0.9966498 0.9967237 0.9966110
Mean 84.962 µs 85.136 µs 85.381 µs
Std. Dev. 320.22 ns 1.0921 µs 1.7376 µs
Median 84.826 µs 84.911 µs 84.978 µs
MAD 188.31 ns 268.28 ns 338.23 ns

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 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.

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.