criterion performance measurements

overview

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traverse (FilePath)

lower bound estimate upper bound
Mean execution time 2.1479229156554274 2.241416973310762 2.3594082300246293
Standard deviation 0.12750936155566428 0.17922489935599856 0.23552536144086433

Outlying measurements have moderate (0.1902247327481599%) effect on estimated standard deviation.

traverse (RawFilePath)

lower bound estimate upper bound
Mean execution time 0.455240959364229 0.457101744848543 0.4590143148482378
Standard deviation 2.5578303832403597e-3 3.2187714020389595e-3 4.0431595899333055e-3

Outlying measurements have slight (9.000000000000001e-2%) effect on estimated standard deviation.

allDirectoryContents

lower bound estimate upper bound
Mean execution time 0.2814769451201494 0.28329185886984426 0.2860310022414263
Standard deviation 1.9203242075754598e-3 3.7437533206311504e-3 4.857807968430215e-3

Outlying measurements have slight (9.000000000000001e-2%) effect on estimated standard deviation.

allDirectoryContents'

lower bound estimate upper bound
Mean execution time 0.19311966343527392 0.19616927548056204 0.20045730515127735
Standard deviation 3.914954594693387e-3 6.128764850619634e-3 9.26049284399675e-3

Outlying measurements have slight (9.000000000000001e-2%) effect on estimated standard deviation.

traverseDirectory

lower bound estimate upper bound
Mean execution time 0.17313436909323293 0.17470824165945606 0.1768534605086382
Standard deviation 2.0602275237877254e-3 3.122285739777674e-3 4.612217040517633e-3

Outlying measurements have slight (8.999999999999987e-2%) effect on estimated standard deviation.

unix find

lower bound estimate upper bound
Mean execution time 0.15300149365072802 0.15712642117147999 0.16351172371512013
Standard deviation 5.38198982976902e-3 8.586170281872195e-3 1.314229684787254e-2

Outlying measurements have moderate (0.17906950687258594%) effect on estimated standard deviation.

understanding this report

In this report, each function benchmarked by criterion is assigned a section of its own. In each section, we display two charts, each with an x axis that represents measured execution time. These charts are active; if you hover your mouse over data points and annotations, you will see more details.

Under the charts is a small table displaying the mean and standard deviation of the measurements. We use a statistical technique called the bootstrap to provide confidence intervals on our estimates of these values. The bootstrap-derived upper and lower bounds on the mean and standard deviation let you see how accurate we believe those estimates to be. (Hover the mouse over the table headers to see the confidence levels.)

A noisy benchmarking environment can cause some or many measurements to fall far from the mean. These outlying measurements can have a significant inflationary effect on the estimate of the standard deviation. We calculate and display an estimate of the extent to which the standard deviation has been inflated by outliers.