Hi, Some long-running (~30 minutes) calculations I needed to do recently in Sage working with a student inspired me to write a python memoization library which uses Google App Engine to cache the output of (decorated) functions. This means that if multiple people are working on the same project they can all benefit from quick calculations once one person has done the calculation. Also memoization persists through stopping and starting python and modifying other parts of the code (but obviously if the memoized function is modified then the values have to be recalculated). The target of my library is for calculations which take long enough to be annoying, but no so long that it's worth writing file outputs etc.
The reason I am writing to this list is the hope that others might find such a library useful also. The source code is available https://github.com/jjh2/cloudm and is easily installed in sage ! easy_install decorator cloudm will install the library. Once setup adding this caching to a function done using a simple decorator @cloudmemoize def myfunc(params) Calls to myfunc will now be cached on a global server and if the result already exists in the cache myfunc won't be calculated again. The library appears to work well enough for my needs but, of course, it's still in very early development. Feel free to let me know if anyone ends up finding it useful or has any improvements etc. Regards, Jonny -- To post to this group, send an email to sage-devel@googlegroups.com To unsubscribe from this group, send an email to sage-devel+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-devel URL: http://www.sagemath.org