Skip to main content
Join the official Python Developers Survey 2018 and win valuable prizes: Start the survey!

Python benchmarker / benchmarking framework

Project description

benchmark is a Python benchmarking framework, similar to Steve Purcell’s unittest in basic structure. It’s as simple as:

import benchmark

import math

class Benchmark_Sqrt(benchmark.Benchmark):

    each = 100 # allows for differing number of runs

    def setUp(self):
        # Only using setUp in order to subclass later
        # Can also specify tearDown, eachSetUp, and eachTearDown
        self.size = 25000

    def test_pow_operator(self):
        for i in xrange(self.size):
            z = i**.5

    def test_pow_function(self):
        for i in xrange(self.size):
            z = pow(i, .5)

    def test_sqrt_function(self):
        for i in xrange(self.size):
            z = math.sqrt(i)

class Benchmark_Sqrt2(Benchmark_Sqrt):
    # Subclass the previous benchmark to change input using
    # self.setUp()

    label = "Benchmark Sqrt on a larger range"
    # The above label comes from the class name, this oen
    # comes from the label attribute

    each = 50

    def setUp(self):
        self.size = 750000

if __name__ == '__main__':
    benchmark.main(format="markdown", numberFormat="%.4g")
    # could have written benchmark.main(each=50) if the
    # first class shouldn't have been run 100 times.

which produces:

Benchmark Report
================

Benchmark Sqrt
--------------

         name | rank | runs |     mean |        sd | timesBaseline
--------------|------|------|----------|-----------|--------------
 pow operator |    1 |  100 | 0.004163 | 0.0001469 |           1.0
sqrt function |    2 |  100 | 0.004584 |  0.000379 | 1.10126499627
 pow function |    3 |  100 | 0.005496 | 0.0002709 | 1.32031909568

Benchmark Sqrt on a larger range
--------------------------------

         name | rank | runs |   mean |       sd | timesBaseline
--------------|------|------|--------|----------|--------------
 pow operator |    1 |   50 | 0.1265 | 0.004772 |           1.0
sqrt function |    2 |   50 | 0.1375 | 0.004729 |    1.08705384
 pow function |    3 |   50 | 0.1649 | 0.003935 | 1.30357975885

Each of the above 450 runs were run in random, non-consecutive order by
`benchmark` v0.1.4 (http://jspi.es/benchmark) with Python 2.7.1
Darwin-11.3.0-x86_64 on 2012-04-17 19:43:01.

More examples are available in the example folder or visit http://jspi.es/benchmark for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
benchmark-0.1.5.tar.gz (7.1 kB) Copy SHA256 hash SHA256 Source None Apr 17, 2012

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page