Awesome

criterion

A statistics-driven micro-benchmarking framework heavily inspired by the wonderful criterion library for Haskell; originally created by LemonBoy.

Status

Works, API is still not 100% stable yet.

Example

import criterion

var cfg = newDefaultConfig()

benchmark cfg:
  func fib(n: int): int =
    case n
    of 0: 1
    of 1: 1
    else: fib(n-1) + fib(n-2)

  # on nim-1.0 you have to use {.measure: [].} instead
  proc fib5() {.measure.} =
    var n = 5
    blackBox fib(n)

  # ... equivalent to ...

  iterator argFactory(): int =
    for x in [5]:
      yield x

  proc fibN(x: int) {.measure: argFactory.} =
    blackBox fib(x)

  # ... equivalent to ...

  proc fibN1(x: int) {.measure: [5].} =
    blackBox fib(x)

Gives the following output:

A bit too much info? Just set cfg.brief = true and the results will be output in a condensed format:

Much easier to parse, isn't it?

If you need to pass more than a single argument to your benchmark fixture just use a tuple: they are automagically unpacked at compile-time.

import criterion

let cfg = newDefaultConfig()

benchmark cfg:
  proc foo(x: int, y: float) {.measure: [(1,1.0),(2,2.0)].} =
    discard x.float + y

Export the measurements

If you need the measurement data in order to compare different benchmarks, to plot the results or to post-process them you can do so by adding a single line to your benchmark setup:

let cfg = newDefaultConfig()

# Your usual config goes here...
cfg.outputPath = "my_benchmark.json"

benchmark(cfg):
  # Your benchmark code goes here...

The data will be dumped once the block has been completed into a json file that's ready for consumption by other tools.

Documentation

See the documentation for the criterion module as generated directly from the source.

More Test Output

The source of the many test.

License

MIT