This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

PyBenchmarks

Automate the creation of benchmark tables.

The benchmark utility times one or more code snippets or functions by iterating through input arguments or keyed variables. It returns a dictionary containing the elapsed time (all platforms) and memory usage (linux only) for each combination of the input variables. An argument or keyed variable is iterated if and only if it is a list, a tuple, a generator or a range.

Examples

>>> import numpy as np
>>> from pybenchmarks import benchmark
>>> b = benchmark((np.empty, np.ones), (100, 10000, 1000000),
...               dtype=(int, complex))
empty: 100     dtype=int       1.62 us
ones : 100     dtype=int       3.61 us
empty: 100     dtype=complex   1.70 us
ones : 100     dtype=complex   5.42 us
empty: 10000   dtype=int       1.53 us
ones : 10000   dtype=int       7.53 us
empty: 10000   dtype=complex   2.33 us
ones : 10000   dtype=complex  16.29 us
empty: 1000000 dtype=int       1.87 us
ones : 1000000 dtype=int       1.84 ms
empty: 1000000 dtype=complex   2.19 us
ones : 1000000 dtype=complex   4.20 ms
>>> b = benchmark(['np.empty(n, dtype=dtype)', 'np.ones(n, dtype=dtype)'],
...               dtype=(int, complex), n=(100, 10000, 1000000),
...               setup='from __main__ import np')
'np.empty(n, dt...: dtype=int     n=100       1.36 us
'np.ones(n, dty...: dtype=int     n=100       2.83 us
'np.empty(n, dt...: dtype=complex n=100       1.44 us
'np.ones(n, dty...: dtype=complex n=100       3.50 us
'np.empty(n, dt...: dtype=int     n=10000     1.22 us
'np.ones(n, dty...: dtype=int     n=10000     7.05 us
'np.empty(n, dt...: dtype=complex n=10000     1.35 us
'np.ones(n, dty...: dtype=complex n=10000    23.78 us
'np.empty(n, dt...: dtype=int     n=1000000   1.47 us
'np.ones(n, dty...: dtype=int     n=1000000   2.04 ms
'np.empty(n, dt...: dtype=complex n=1000000   2.91 us
'np.ones(n, dty...: dtype=complex n=1000000   4.26 ms
>>> import time
>>> benchmark(time.sleep, (1, 2, 3))
1   1.00 s
2   2.00 s
3   3.00 s
>>> shapes = (100, 10000, 1000000)
>>> setup = """
... import numpy as np
... a = np.random.random_sample(shape)
... """
>>> b = benchmark('np.dot(a, a)', shape=shapes, setup=setup)
shape=100       1.38 us
shape=10000     6.33 us
shape=1000000 855.44 us
>>> shapes = (10, 100, 1000)
>>> setup="""
... import numpy as np
... a = np.random.random_sample((m, n))
... b = np.random.random_sample(n)
... """
>>> b = benchmark('np.dot(a, b)', m=shapes, n=shapes, setup=setup)
m=10   n=10     1.08 us
m=100  n=10     1.61 us
m=1000 n=10     6.91 us
m=10   n=100    1.48 us
m=100  n=100    4.16 us
m=1000 n=100   20.69 us
m=10   n=1000   4.42 us
m=100  n=1000  39.23 us
m=1000 n=1000 931.04 us
>>> def f(x, n, start=1):
...     out = start
...     for i in range(n):
...         out *= x
...     return out
>>> b = benchmark(f, np.full(10, 2), xrange(10), start=2.)
0   1.09 us
1   4.15 us
2   5.25 us
3   5.53 us
4  13.10 us
5   9.23 us
6   9.69 us
7  10.46 us
8  13.03 us
9  10.77 us
Release History

Release History

2.4

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pybenchmarks-2.4.tar.gz (5.6 kB) Copy SHA256 Checksum SHA256 Source Feb 26, 2015

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting