[ANN] crng 1.1: Random-number generator extension types (minor upgrade)

[Per Kraulis]

crng 1.1: Random-number generators (RNGs) implemented as Python
extension types coded in C.

This is a minor upgrade from version 1.0.

The most important changes in version 1.1:

- The script (or module) 'crng_pickle.py' has been added, which
  performs setup for using the crng module with the pickle/cPickle
modules.
- A new utility function 'stir' has been added; it shuffles a list 
  in-place.
- The types Ranlux and MT19937 now have an initialization argument
  'state' and the corresponding attribute, which allows save/retrieve 
  operations.
- The 'repr' function has been properly implemented for all RNG types. 
- A script 'setup.py' has been contributed for installation using the
  Distutils tools.

Official website:  http://www.sbc.su.se/~per/crng/

Documentation:  http://www.sbc.su.se/~per/crng/doc.html

The Python module crng implements random-number generators (RNGs)
based on several different algorithms producing uniform deviates in
the open interval (0,1), i.e. exclusive of the end-point values 0 and
1. A few continuous and integer-valued non-uniform deviates are also
available. Each RNG algorithm is implemented as a separate Python
extension type. The RNG types are independent of each other, but have
very similar interfaces. The entire module is implemented as one
single C source code file.

The GNU General Public License (GPL) applies.

-- 
Per J. Kraulis, Ph.D.                        per at sbc.su.se
Stockholm Bioinformatics Center (SBC)        http://www.sbc.su.se/~per
Dept. Biochemistry, Stockholm University     phone +46 (0)8 - 674 78 17
SE-106 91 Stockholm, SWEDEN                  fax   +46 (0)8 -  15 80 57