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A C++ fast XOR implementation strongly inspired by eryksun’s stackoverflow post.

Here are the results on my workplace desktop computer (Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz):

Method Name

Time

Speep-up

xor_inplace_loop

0.444

1.000

xor_list_comprehension

0.237

1.877

numpy.bitwise_xor

0.00175

252.986

fastxor.fast_xor_inplace

0.00125

356.339

What the release number stands for ?

I do my best to follow this interesting recommendation : Semantic Versioning 2.0.0

How to install it (Python 2.7) ?

Install some packages that are not handled by pip:

sudo apt-get install gfortran python-dev python-pip

Make sure that pip is up-to-date (PIPception):

sudo pip-2.7 install --upgrade pip

Then, you only need to run setup.py:

python2 setup.py test
sudo python2 setup.py install

How to install it (Python 3.3) ?

Install some packages that are not handled by pip:

sudo apt-get install gfortran python3-dev python3-pip

Make sure that pip is up-to-date (PIPception):

sudo pip-3.3 install --upgrade pip

Then, you only need to run setup.py:

python3 setup.py test
sudo python3 setup.py install

Sometimes numpy setup fails, just run sudo pip-3.3 install numpy to solve this.

How to check coverage ?

python setup.py test
xdg-open tests/cover/index.html

How to use it ?

This extension module gives you access to fast_xor_inplace and fast_xor (… TODO).

2013 - David Fischer

Release files for fastxor 0.1.6

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Source distribution for fastxor 0.1.6
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