[Module] Caching

[OleM.Nielsen]

                                Caching                                 
                                -------                                 

Smart caching of function results

This module allows results of Python functions to be made persistent for
subsequent rapid retrieval. Functions are intercepted, evaluated and
their results are compressed and pickled using cPickle. Subsequent
function calls with same arguments are replaced by the cached results.
If the function or its arguments have been modified it will be
recomputed. Recomputation can also be made dependent on the time stamp
of arbitrary files or it can be triggered explicitly.

This form of caching is very useful for time consuming functions that
are called repetitively, such as database or WEB queries but it will
work for any function which returns picklable objects.

The following paper describes the caching module (along with some
others) in more detail: A Toolbox Approach to Flexible and Efficient
Data Mining Ole M. Nielsen, Peter Christen, Markus Hegland, Tatiana
Semenova and Timothy Hancock. Accepted for the PAKDD-2001 Conference,
Hong Kong, April 2001. Available at
ftp://csl.anu.edu.au/pub/dm/papers/pakdd2001.pdf.gz or by emailing
Ole.Nielsen@bigfoot.com

       URL:  http://csl.anu.edu.au/ml/dm/dm_software.html
  Download:  ftp://csl.anu.edu.au/pub/dm/dmtools/caching.py

   License:  GPL
  Requires:  zlib (recommended but not essential)

  Categories:  Python Utilities

Ole M. Nielsen (Ole.Nielsen@bigfoot.com)
http://www.bigfoot.com/~Ole.Nielsen

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<a href="http://csl.anu.edu.au/ml/dm/dm_software.html">Caching</a> --
Smart caching of function results