On 9/25/2012 11:50 AM, Dave Angel wrote:
I suspect that heapy has some limitation in its reporting, and that's what the discrepancy.
That would be my first suspicion as well - except that heapy's results agree so well with what I expect, and I can't think of any reason I'd be using 10x more memory. If heapy is wrong, then I need to try and figure out what's using up all that memory some other way... but I don't know what that way might be.
... can be an expensive proposition if you are building millions of them. So can nested functions with non-local variable references, in case you have any of those.
Not as far as I know. Cheers, MrsEntity -- http://mail.python.org/mailman/listinfo/python-list