So I read quite a few things about this phenomenon in Python 2.4.x but I can hardly believe that there is really no solution to my problem.
We use a commercial tool that has a macro functionality. These macros are written in python. So far nothing extraordinary. Our (python-)macro uses massively nested loops which are unfortunately necessary. These loops perform complex calculations in this commercial tool. To give you a quick overview how long this macros runs: The outer loop takes 5-7 hours for one cycle. Each cycle creates one outputfile. So we would like to perform 3-5 outer cycles en bloc. Unfortunately one of our computers (768MB RAM) crashes after just ~10% of the first cycle with the following error message: http://img2.freeimagehosting.net/uploads/7157b1dd7e.jpg while another computer (1GB RAM) crashes after ~10% of the fourth loop. While the virtual memory on the 1gb machine was full to the limit when it crashed the memory usage of the 768mb machine looked this this: http://img2.freeimagehosting.net/uploads/dd15127b7a.jpg The moment I close the application that launched the macro, my ressources get freed. So is there a way to free my memory inside my nested loops? thanks in advance, tim -- http://mail.python.org/mailman/listinfo/python-list
