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python binding for GSL quasi-random number generation routines

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pyquasirand

python binding for GSL quasi-random number generation routines ####Dependancies Requires SWIG, numpy and BLAS.
Presumably should work on Unix-like systems.
####Installation Standard setup.py script. So #python setup.py install should do it.

However, you may wish to avoid messing up your system. In this case add --user option to install to ~/.local or --prefix some/place to install wherever you want. Beware to add the generated site-packages directory to your PYTHONPATH.

If you don't want to touch path, virtualenv is another option. It's probably a good idea to use --system-site-package option if you want to be able to use system-wide packages for some reason (e.g. not to install numpy, etc. from scratch). ####Usage Take a look at 'test.py' file to see a usage example. ####License (C) 2014 Lukashev Sergey [email protected]

Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice and disclaimer appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

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