[Python-checkins] python/nondist/sandbox/twister librandom.tex,1.5,1.6

[rhettinger@users.sourceforge.net]

Update of /cvsroot/python/python/nondist/sandbox/twister
In directory sc8-pr-cvs1:/tmp/cvs-serv12408

Modified Files:
	librandom.tex 
Log Message:
More small edits.


Index: librandom.tex
===================================================================
RCS file: /cvsroot/python/python/nondist/sandbox/twister/librandom.tex,v
retrieving revision 1.5
retrieving revision 1.6
diff -C2 -d -r1.5 -r1.6
*** librandom.tex	29 Dec 2002 21:43:27 -0000	1.5
--- librandom.tex	29 Dec 2002 21:55:56 -0000	1.6
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*** 24,33 ****
  the semi-open range [0.0, 1.0).  Python uses the Mersenne Twister as
  the core generator.  It produces 53-bit precision floats and has a
! period of 2**19937-1.  The underlying implementation is in C and
! is both fast and threadsafe.  The Mersenne Twister has been extensively
! tested and passes tough benchmarks for randomness (such as the Diehard
! array of tests).  However, being completely deterministic, it is not
! suitable for all purposes, and is completely unsuitable for cryptographic
! purposes.
  
  The functions supplied by this module are actually bound methods of a
--- 24,32 ----
  the semi-open range [0.0, 1.0).  Python uses the Mersenne Twister as
  the core generator.  It produces 53-bit precision floats and has a
! period of 2**19937-1.  The underlying implementation in C 
! is both fast and threadsafe.  The Mersenne Twister is one of the most
! extensively tested random number generators in existence.  However, being
! completely deterministic, it is not suitable for all purposes, and is
! completely unsuitable for cryptographic purposes.
  
  The functions supplied by this module are actually bound methods of a
***************
*** 45,51 ****
  
  As an example of subclassing, the \module{random} module provides
! a \class{WichmannHill} class implementing an alternative generator
  in pure Python.  The class provides a backward compatible way to
! reproduce results from earlier versions on Python which used the
  Wichmann-Hill algorithm as the core generator.
  \versionchanged[Substituted MersenneTwister for Wichmann-Hill]{2.3}
--- 44,50 ----
  
  As an example of subclassing, the \module{random} module provides
! the \class{WichmannHill} class which implements an alternative generator
  in pure Python.  The class provides a backward compatible way to
! reproduce results from earlier versions of Python which used the
  Wichmann-Hill algorithm as the core generator.
  \versionchanged[Substituted MersenneTwister for Wichmann-Hill]{2.3}
***************
*** 65,70 ****
  \end{funcdesc}
  
- 
- 
  \begin{funcdesc}{getstate}{}
    Return an object capturing the current internal state of the
--- 64,67 ----
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*** 96,99 ****
--- 93,97 ----
   \end{funcdesc}
  
+ 
  Functions for integers:
  
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*** 235,239 ****
  Class that implements the Wichmann-Hill algorithm as the core generator.
  Has all of the same methods as \class{Random} plus the \method{whseed}
! method described below.
  \end{classdesc}
  
--- 233,240 ----
  Class that implements the Wichmann-Hill algorithm as the core generator.
  Has all of the same methods as \class{Random} plus the \method{whseed}
! method described below.  Because this class is implemented in pure
! Python, it is not threadsafe and may require locks between calls.  The
! period of the generator is 6,953,607,871,644 which is small enough to
! require care that two independent random sequences do not overlap.
  \end{classdesc}